default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDVaneet Aggarwal
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
- affiliation: King Abdulaziz University, Jeddah, Saudi Arabia
- affiliation (2018 - 2019): IISc, Bangalore, India
- affiliation (2013 - 2014): Columbia University, New York, NY, USA
- affiliation (2010 - 2014): AT&T Labs-Research, Florham Park, NJ, USA
- affiliation (PhD 2010): Princeton University, NJ, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j156]Vaneet Aggarwal
, Rakhi Pratihar:
Insdel codes from subspace and rank-metric codes. Discret. Math. 347(1): 113675 (2024)- [j155]Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai:
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. Found. Trends Optim. 6(4): 193-298 (2024) - [j154]Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal:
Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN. IEEE Netw. Lett. 6(2): 97-100 (2024) - [j153]Divija Swetha Gadiraju, Prasenjit Karmakar, Vijay K. Shah, Vaneet Aggarwal:
GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments. Inf. 15(8): 477 (2024) - [j152]Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini:
Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? IEEE Open J. Commun. Soc. 5: 633-648 (2024) - [j151]Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato:
Coded Caching With Heterogeneous User Profiles. IEEE Trans. Inf. Theory 70(3): 1836-1847 (2024) - [j150]Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal:
Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer. IEEE J. Biomed. Health Informatics 28(5): 3114-3122 (2024) - [j149]Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang:
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks. IEEE/ACM Trans. Netw. 32(1): 222-237 (2024) - [j148]Bhargav Ganguly, Vaneet Aggarwal:
Online Federated Learning via Non-Stationary Detection and Adaptation Amidst Concept Drift. IEEE/ACM Trans. Netw. 32(1): 643-653 (2024) - [j147]Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li:
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. IEEE/ACM Trans. Netw. 32(2): 1003-1018 (2024) - [j146]Chang-Lin Chen, Bharat K. Bhargava, Vaneet Aggarwal, Basavaraj Tonshal, Amrit Gopal:
A Hybrid Deep Reinforcement Learning Approach for Jointly Optimizing Offloading and Resource Management in Vehicular Networks. IEEE Trans. Veh. Technol. 73(2): 2456-2467 (2024) - [c141]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. AAAI 2024: 10980-10988 - [c140]Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini, Vaneet Aggarwal:
Combinatorial Stochastic-Greedy Bandit. AAAI 2024: 12052-12060 - [c139]Washim Uddin Mondal, Vaneet Aggarwal:
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. AISTATS 2024: 3097-3105 - [c138]Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini:
FilFL: Client Filtering for Optimized Client Participation in Federated Learning. ECAI 2024: 2460-2467 - [c137]Mohammad Pedramfar, Yididiya Y. Nadew, Christopher John Quinn, Vaneet Aggarwal:
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. ICLR 2024 - [c136]Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang:
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. ICLR 2024 - [c135]Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal:
Federated Combinatorial Multi-Agent Multi-Armed Bandits. ICML 2024 - [c134]Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini:
Stochastic Q-learning for Large Discrete Action Spaces. ICML 2024 - [c133]Mudit Gaur, Amrit S. Bedi, Di Wang, Vaneet Aggarwal:
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. ICML 2024 - [c132]Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit S. Bedi:
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles. ICML 2024 - [i198]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. CoRR abs/2402.02042 (2024) - [i197]Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal:
Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN. CoRR abs/2402.06901 (2024) - [i196]Mohammad Pedramfar, Vaneet Aggarwal:
A Generalized Approach to Online Convex Optimization. CoRR abs/2402.08621 (2024) - [i195]Aditya Malusare, Vaneet Aggarwal:
Improving Molecule Generation and Drug Discovery with a Knowledge-enhanced Generative Model. CoRR abs/2402.08790 (2024) - [i194]Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal:
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. CoRR abs/2402.13777 (2024) - [i193]Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal:
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer. CoRR abs/2403.07309 (2024) - [i192]Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal:
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries. CoRR abs/2403.09940 (2024) - [i191]Mohammad Pedramfar, Yididiya Y. Nadew, Christopher J. Quinn, Vaneet Aggarwal:
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. CoRR abs/2403.10063 (2024) - [i190]Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Amrit Singh Bedi, Dinesh Manocha:
Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic. CoRR abs/2403.11925 (2024) - [i189]Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal:
Variance-Reduced Policy Gradient Approaches for Infinite Horizon Average Reward Markov Decision Processes. CoRR abs/2404.02108 (2024) - [i188]Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher G. Brinton:
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. CoRR abs/2404.08003 (2024) - [i187]Debanjan Konar, Zain Hafeez, Vaneet Aggarwal:
A Bi-directional Quantum Search Algorithm. CoRR abs/2404.15616 (2024) - [i186]Mohammad Pedramfar, Vaneet Aggarwal:
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization. CoRR abs/2405.00065 (2024) - [i185]Mudit Gaur, Amrit Singh Bedi, Di Wang, Vaneet Aggarwal:
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. CoRR abs/2405.01843 (2024) - [i184]Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal:
Federated Combinatorial Multi-Agent Multi-Armed Bandits. CoRR abs/2405.05950 (2024) - [i183]Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini:
Stochastic Q-learning for Large Discrete Action Spaces. CoRR abs/2405.10310 (2024) - [i182]Washim Uddin Mondal, Vaneet Aggarwal:
Sample-Efficient Constrained Reinforcement Learning with General Parameterization. CoRR abs/2405.10624 (2024) - [i181]Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal:
Variational Offline Multi-agent Skill Discovery. CoRR abs/2405.16386 (2024) - [i180]Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai:
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. CoRR abs/2406.11481 (2024) - [i179]Swetha Ganesh, Vaneet Aggarwal:
An Accelerated Multi-level Monte Carlo Approach for Average Reward Reinforcement Learning with General Policy Parametrization. CoRR abs/2407.18878 (2024) - [i178]Sparsh Gupta, Debanjan Konar, Vaneet Aggarwal:
A Scalable Quantum Non-local Neural Network for Image Classification. CoRR abs/2407.18906 (2024) - [i177]Washim Uddin Mondal, Vaneet Aggarwal:
Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs. CoRR abs/2408.11513 (2024) - [i176]Vineet Punyamoorty, Pascal Jutras-Dubé, Ruqi Zhang, Vaneet Aggarwal, Damon Conover, Aniket Bera:
Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion. CoRR abs/2409.16950 (2024) - 2023
- [j145]Debanjan Konar, Aditya Das Sarma, Soham Bhandary, Siddhartha Bhattacharyya, Attila Cangi, Vaneet Aggarwal:
A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification. Appl. Soft Comput. 136: 110099 (2023) - [j144]Dheeraj Peddireddy, Vipul Bansal, Vaneet Aggarwal:
Classical simulation of variational quantum classifiers using tensor rings. Appl. Soft Comput. 141: 110308 (2023) - [j143]Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu:
Machine Learning for Robust Network Design: A New Perspective. IEEE Commun. Mag. 61(10): 86-92 (2023) - [j142]Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang:
Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. IEEE Commun. Mag. 61(12): 54-60 (2023) - [j141]Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal:
An finite element analysis surrogate model with boundary oriented graph embedding approach for rapid design. J. Comput. Des. Eng. 10(3): 1026-1046 (2023) - [j140]Mridul Agarwal, Vaneet Aggarwal:
Reinforcement Learning for Joint Optimization of Multiple Rewards. J. Mach. Learn. Res. 24: 49:1-49:41 (2023) - [j139]Qinbo Bai, Vaneet Aggarwal, Ather Gattami:
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints. J. Mach. Learn. Res. 24: 60:1-60:25 (2023) - [j138]Fanglin Bao, Xueji Wang, Shree Hari Sureshbabu, Gautam Sreekumar, Liping Yang, Vaneet Aggarwal, Vishnu Naresh Boddeti, Zubin Jacob:
Heat-assisted detection and ranging. Nat. 619(7971): 743-748 (2023) - [j137]Rooji Jinan, Gaurav Gautam, Parimal Parag, Vaneet Aggarwal:
Asymptotic Analysis of Probabilistic Scheduling for Erasure-Coded Heterogeneous Systems. SIGMETRICS Perform. Evaluation Rev. 50(4): 8-10 (2023) - [j136]Abhishek K. Umrawal, Vaneet Aggarwal:
Leveraging the Community Structure of a Social Network for Maximizing the Spread of Influence. SIGMETRICS Perform. Evaluation Rev. 50(4): 17-19 (2023) - [j135]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. IEEE Trans. Artif. Intell. 4(5): 1141-1153 (2023) - [j134]Abhishek K. Umrawal, Christopher J. Quinn, Vaneet Aggarwal:
A Community-Aware Framework for Social Influence Maximization. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1253-1262 (2023) - [j133]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1351-1361 (2023) - [j132]Guanghui Zhang, Ke Liu, Haibo Hu, Vaneet Aggarwal, Jack Y. B. Lee:
Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming. IEEE Trans. Mob. Comput. 22(1): 389-401 (2023) - [j131]Chang-Lin Chen, Christopher G. Brinton, Vaneet Aggarwal:
Latency Minimization for Mobile Edge Computing Networks. IEEE Trans. Mob. Comput. 22(4): 2233-2247 (2023) - [j130]Guanghui Zhang, Jie Zhang, Yan Liu, Haibo Hu, Jack Y. B. Lee, Vaneet Aggarwal:
Adaptive Video Streaming With Automatic Quality-of-Experience Optimization. IEEE Trans. Mob. Comput. 22(8): 4456-4470 (2023) - [j129]Washim Uddin Mondal, Vaneet Aggarwal:
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward. Trans. Mach. Learn. Res. 2023 (2023) - [j128]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. Trans. Mach. Learn. Res. 2023 (2023) - [j127]Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang:
Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point. IEEE/ACM Trans. Netw. 31(6): 2682-2697 (2023) - [j126]Guanghui Zhang, Jie Zhang, Ke Liu, Jing Guo, Jack Y. B. Lee, Haibo Hu, Vaneet Aggarwal:
DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming. IEEE Trans. Serv. Comput. 16(2): 1066-1078 (2023) - [j125]Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal:
An Optimization Framework Based on Deep Reinforcement Learning Approaches for Prism Blockchain. IEEE Trans. Serv. Comput. 16(4): 2451-2461 (2023) - [j124]Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu:
A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. IEEE Trans. Veh. Technol. 72(5): 6753-6764 (2023) - [c131]Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. AAAI 2023: 6737-6744 - [c130]Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini:
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. AISTATS 2023: 7455-7471 - [c129]Abhishek K. Umrawal, Vaneet Aggarwal, Christopher J. Quinn:
Fractional Budget Allocation for Influence Maximization. CDC 2023: 4327-4332 - [c128]Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee:
Domain Adaptive Few-Shot Open-Set Learning. ICCV 2023: 18785-18794 - [c127]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. ICML 2023: 4895-4920 - [c126]Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal:
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. ICML 2023: 11013-11049 - [c125]Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn:
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback. ICML 2023: 26166-26198 - [c124]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. ICRA 2023: 5902-5908 - [c123]Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi:
Deep Spiking Quantum Neural Network for Noisy Image Classification. IJCNN 2023: 1-10 - [c122]Jiaqi Yao, Ke Liu, Ting Liang, Theophilus A. Benson, Jack Y. B. Lee, Vaneet Aggarwal, Yungang Bao, Mingyu Chen:
A Data-Driven Framework for TCP to Achieve Flexible QoS Control in Mobile Data Networks. IWQoS 2023: 1-11 - [c121]Guanghui Zhang, Ke Liu, Mengbai Xiao, Bingshu Wang, Vaneet Aggarwal:
An Intelligent Learning Approach to Achieve Near-Second Low-Latency Live Video Streaming under Highly Fluctuating Networks. ACM Multimedia 2023: 8067-8075 - [c120]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. NeurIPS 2023 - [c119]Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal:
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. NeurIPS 2023 - [c118]Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal:
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. NeurIPS 2023 - [c117]Mohammad Pedramfar, Christopher J. Quinn, Vaneet Aggarwal:
A Unified Approach for Maximizing Continuous DR-submodular Functions. NeurIPS 2023 - [i175]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Mean-Field Control based Approximation of Multi-Agent Reinforcement Learning in Presence of a Non-decomposable Shared Global State. CoRR abs/2301.06889 (2023) - [i174]Yulian Wu, Chaowen Guan, Vaneet Aggarwal, Di Wang:
Quantum Heavy-tailed Bandits. CoRR abs/2301.09680 (2023) - [i173]Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn:
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback. CoRR abs/2301.13326 (2023) - [i172]Fares Fourati, Vaneet Aggarwal, Christopher John Quinn, Mohamed-Slim Alouini:
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. CoRR abs/2302.01324 (2023) - [i171]Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini:
FilFL: Accelerating Federated Learning via Client Filtering. CoRR abs/2302.06599 (2023) - [i170]Bhargav Ganguly, Yulian Wu, Di Wang, Vaneet Aggarwal:
Quantum Computing Provides Exponential Regret Improvement in Episodic Reinforcement Learning. CoRR abs/2302.08617 (2023) - [i169]Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang:
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. CoRR abs/2303.08361 (2023) - [i168]Mohammad Pedramfar, Vaneet Aggarwal:
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback. CoRR abs/2303.13604 (2023) - [i167]Washim Uddin Mondal, Vaneet Aggarwal:
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward. CoRR abs/2305.02527 (2023) - [i166]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2305.12633 (2023) - [i165]Mohammad Pedramfar, Christopher John Quinn, Vaneet Aggarwal:
A Unified Approach for Maximizing Continuous DR-submodular Functions. CoRR abs/2305.16671 (2023) - [i164]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Deep Counterfactual Regret Minimization. CoRR abs/2305.17327 (2023) - [i163]Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li:
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. CoRR abs/2305.19153 (2023) - [i162]Mudit Gaur, Amrit Singh Bedi, Di Wang, Vaneet Aggarwal:
On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization. CoRR abs/2306.10486 (2023) - [i161]Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong:
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR abs/2306.17054 (2023) - [i160]Dheeraj Peddireddy, Utkarsh Priyam, Vaneet Aggarwal:
Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization. CoRR abs/2307.03884 (2023) - [i159]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR abs/2307.11629 (2023) - [i158]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning. CoRR abs/2308.14897 (2023) - [i157]Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. CoRR abs/2309.01922 (2023) - [i156]Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee:
Domain Adaptive Few-Shot Open-Set Learning. CoRR abs/2309.12814 (2023) - [i155]Debanjan Konar, Dheeraj Peddireddy, Vaneet Aggarwal, Bijaya K. Panigrahi:
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks. CoRR abs/2310.01515 (2023) - [i154]Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang:
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. CoRR abs/2310.07367 (2023) - [i153]Washim Uddin Mondal, Vaneet Aggarwal:
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. CoRR abs/2310.11677 (2023) - [i152]Bhargav Ganguly, Vaneet Aggarwal:
Quantum Acceleration of Infinite Horizon Average-Reward Reinforcement Learning. CoRR abs/2310.11684 (2023) - [i151]Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal:
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates. CoRR abs/2310.19807 (2023) - [i150]Ahmadreza Moradipari, Mohammad Pedramfar, Modjtaba Shokrian Zini, Vaneet Aggarwal:
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning. CoRR abs/2310.20007 (2023) - [i149]Aditya Malusare, Harish Kothandaraman, Dipesh Tamboli, Nadia A. Lanman, Vaneet Aggarwal:
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision. CoRR abs/2311.02333 (2023) - [i148]Ruibo Wang, Washim Uddin Mondal, Mustafa A. Kishk, Vaneet Aggarwal, Mohamed-Slim Alouini:
Terrain-based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? CoRR abs/2312.01826 (2023) - [i147]Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini, Vaneet Aggarwal:
Combinatorial Stochastic-Greedy Bandit. CoRR abs/2312.08057 (2023) - 2022
- [j123]Mridul Agarwal, Vaneet Aggarwal, Arnob Ghosh, Nilay Tiwari:
Reinforcement Learning for Mean-Field Game. Algorithms 15(3): 73 (2022) - [j122]Yimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal:
Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. Algorithms 15(7): 227 (2022) - [j121]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. J. Artif. Intell. Res. 74: 1565-1597 (2022) - [j120]Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). J. Mach. Learn. Res. 23: 129:1-129:46 (2022) - [j119]Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli:
Multi-Agent Multi-Armed Bandits with Limited Communication. J. Mach. Learn. Res. 23: 212:1-212:24 (2022) - [j118]Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri:
Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks. IEEE Trans. Cogn. Commun. Netw. 8(4): 1706-1715 (2022) - [j117]Trevor Bonjour, Marina Haliem, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, Bharat K. Bhargava:
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. IEEE Trans. Emerg. Top. Comput. Intell. 6(6): 1335-1344 (2022) - [j116]Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu:
A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk. IEEE Trans. Hum. Mach. Syst. 52(2): 207-219 (2022) - [j115]Xingyu Fu, Dheeraj Peddireddy, Vaneet Aggarwal, Martin Byung-Guk Jun:
Improved Dexel Representation: A 3-D CNN Geometry Descriptor for Manufacturing CAD. IEEE Trans. Ind. Informatics 18(9): 5882-5892 (2022) - [j114]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: A Diurnal-Adaptive Fleet Management Framework Using Model-Free Deep Reinforcement Learning and Change Point Detection. IEEE Trans. Intell. Transp. Syst. 23(3): 2471-2481 (2022) - [j113]Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
PassGoodPool: Joint Passengers and Goods Fleet Management With Reinforcement Learning Aided Pricing, Matching, and Route Planning. IEEE Trans. Intell. Transp. Syst. 23(4): 3866-3877 (2022) - [j112]Ashutosh Singh, Abubakr O. Al-Abbasi, Vaneet Aggarwal:
A Distributed Model-Free Algorithm for Multi-Hop Ride-Sharing Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23(7): 8595-8605 (2022) - [j111]Dixita Limbachiya, Manish K. Gupta, Vaneet Aggarwal:
10 Years of Natural Data Storage. IEEE Trans. Mol. Biol. Multi Scale Commun. 8(4): 263-275 (2022) - [j110]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. Trans. Mach. Learn. Res. 2022 (2022) - [j109]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022) - [j108]Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai:
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. IEEE/ACM Trans. Netw. 30(4): 1569-1584 (2022) - [j107]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Joint Information Freshness and Completion Time Optimization for Vehicular Networks. IEEE Trans. Serv. Comput. 15(2): 1118-1129 (2022) - [j106]Amrit Singh Bedi, Ketan Rajawat, Vaneet Aggarwal, Alec Koppel:
Escaping Saddle Points for Successive Convex Approximation. IEEE Trans. Signal Process. 70: 307-321 (2022) - [j105]Mahadesh Panju, Ramkumar Raghu, Vinod Sharma, Vaneet Aggarwal, Ramachandran Rajesh:
Queueing Theoretic Models for Uncoded and Coded Multicast Wireless Networks With Caches. IEEE Trans. Wirel. Commun. 21(2): 1257-1271 (2022) - [c116]Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. AAAI 2022: 3682-3689 - [c115]Mridul Agarwal, Vaneet Aggarwal, Tian Lan:
Multi-Objective Reinforcement Learning with Non-Linear Scalarization. AAMAS 2022: 9-17 - [c114]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. AAMAS 2022: 1572-1574 - [c113]Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal:
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming. CDC 2022: 4545-4552 - [c112]Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. ICML 2022: 5861-5877 - [c111]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. NeurIPS 2022 - [c110]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning. NeurIPS 2022 - [c109]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Regret guarantees for model-based reinforcement learning with long-term average constraints. UAI 2022: 22-31 - [c108]Trevor Bonjour, Vaneet Aggarwal, Bharat K. Bhargava:
Information theoretic approach to detect collusion in multi-agent games. UAI 2022: 223-232 - [c107]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? UAI 2022: 1371-1380 - [c106]Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn:
An explore-then-commit algorithm for submodular maximization under full-bandit feedback. UAI 2022: 1541-1551 - [i146]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. CoRR abs/2201.01247 (2022) - [i145]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. CoRR abs/2201.08227 (2022) - [i144]Dheeraj Peddireddy, Vipul Bansal, Zubin Jacob, Vaneet Aggarwal:
Tensor Ring Parametrized Variational Quantum Circuits for Large Scale Quantum Machine Learning. CoRR abs/2201.08878 (2022) - [i143]Ciyuan Zhang, Su Wang, Vaneet Aggarwal, Borja Peleato:
Coded Caching with Heterogeneous User Profiles. CoRR abs/2201.10646 (2022) - [i142]Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang:
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. CoRR abs/2202.02947 (2022) - [i141]Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri:
Deep Learning based Coverage and Rate Manifold Estimation in Cellular Networks. CoRR abs/2202.06390 (2022) - [i140]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Can Mean Field Control (MFC) Approximate Cooperative Multi Agent Reinforcement Learning (MARL) with Non-Uniform Interaction? CoRR abs/2203.00035 (2022) - [i139]Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang:
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. CoRR abs/2203.13950 (2022) - [i138]Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. CoRR abs/2206.05850 (2022) - [i137]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR abs/2206.08829 (2022) - [i136]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning. CoRR abs/2206.11420 (2022) - [i135]Abhishek Kumar Umrawal, Vaneet Aggarwal:
A Community-Aware Framework for Social Influence Maximization. CoRR abs/2207.08937 (2022) - [i134]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Near-Optimality of Local Policies in Large Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2209.03491 (2022) - [i133]Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri:
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL). CoRR abs/2209.07437 (2022) - [i132]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2210.01969 (2022) - [i131]Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal:
Multi-agent Deep Covering Option Discovery. CoRR abs/2210.03269 (2022) - [i130]Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal:
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. CoRR abs/2211.07675 (2022) - [i129]Bhargav Ganguly, Vaneet Aggarwal:
Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift. CoRR abs/2211.12578 (2022) - [i128]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. CoRR abs/2212.00211 (2022) - 2021
- [j104]Naimahmed Nesaragi, Shivnarayan Patidar, Vaneet Aggarwal:
Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis. Comput. Biol. Medicine 134: 104430 (2021) - [j103]Md. Masudur Rahman, Mythra V. Balakuntala, Glebys T. Gonzalez, Mridul Agarwal, Upinder Kaur, Vishnunandan L. N. Venkatesh, Natalia Sanchez-Tamayo, Yexiang Xue, Richard M. Voyles, Vaneet Aggarwal, Juan P. Wachs:
SARTRES: a semi-autonomous robot teleoperation environment for surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(4): 376-383 (2021) - [j102]Vaneet Aggarwal:
Machine Learning for Communications. Entropy 23(7): 831 (2021) - [j101]Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. Entropy 23(12): 1555 (2021) - [j100]Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. Found. Trends Commun. Inf. Theory 18(3): 380-525 (2021) - [j99]Vaneet Aggarwal, Tian Lan, Dheeraj Peddireddy:
Preemptive scheduling on unrelated machines with fractional precedence constraints. J. Parallel Distributed Comput. 157: 280-286 (2021) - [j98]Mridul Agarwal, Vaneet Aggarwal:
Blind decision making: Reinforcement learning with delayed observations. Pattern Recognit. Lett. 150: 176-182 (2021) - [j97]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Chen:
FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems. IEEE Trans. Cloud Comput. 9(4): 1453-1466 (2021) - [j96]Anis Elgabli, Jihong Park, Amrit Singh Bedi, Chaouki Ben Issaid, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. IEEE Trans. Commun. 69(1): 164-181 (2021) - [j95]Mridul Agarwal, Vaneet Aggarwal, Abhishek K. Umrawal, Christopher J. Quinn:
Stochastic Top K-Subset Bandits with Linear Space and Non-Linear Feedback with Applications to Social Influence Maximization. Trans. Data Sci. 2(4): 38:1-38:39 (2021) - [j94]Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal:
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation. IEEE Trans. Intell. Transp. Syst. 22(4): 2035-2047 (2021) - [j93]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 22(12): 7931-7942 (2021) - [j92]Rutvij H. Jhaveri, Sagar V. Ramani, Gautam Srivastava, Thippa Reddy Gadekallu, Vaneet Aggarwal:
Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks. IEEE Trans. Netw. Sci. Eng. 8(4): 3129-3139 (2021) - [j91]Ruijiu Mao, Vaneet Aggarwal:
NPSCS: Non-Preemptive Stochastic Coflow Scheduling With Time-Indexed LP Relaxation. IEEE Trans. Netw. Serv. Manag. 18(2): 2377-2387 (2021) - [j90]Vaneet Aggarwal, Tian Lan, Suresh Subramaniam, Maotong Xu:
On the Approximability of Related Machine Scheduling Under Arbitrary Precedence. IEEE Trans. Netw. Serv. Manag. 18(3): 3706-3718 (2021) - [j89]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
VidCloud: Joint Stall and Quality Optimization for Video Streaming over Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 17:1-17:32 (2021) - [j88]Ajay Badita, Parimal Parag, Vaneet Aggarwal:
Single-Forking of Coded Subtasks for Straggler Mitigation. IEEE/ACM Trans. Netw. 29(6): 2413-2424 (2021) - [j87]Guanghui Zhang, Jack Y. B. Lee, Ke Liu, Haibo Hu, Vaneet Aggarwal:
A Unified Framework for Flexible Playback Latency Control in Live Video Streaming. IEEE Trans. Parallel Distributed Syst. 32(12): 3024-3037 (2021) - [j86]Yang Zhang, Arnob Ghosh, Vaneet Aggarwal:
Optimized Portfolio Contracts for Bidding the Cloud. IEEE Trans. Serv. Comput. 14(5): 1505-1518 (2021) - [c105]Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn:
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. AAAI 2021: 6557-6565 - [c104]Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal:
Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning. ACSCC 2021: 1023-1026 - [c103]Mridul Agarwal, Vaneet Aggarwal:
Blind Decision Making: Reinforcement Learning with Delayed Observations. ICAPS 2021: 2-6 - [c102]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. ICAPS 2021: 510-518 - [c101]Ather Gattami, Qinbo Bai, Vaneet Aggarwal:
Reinforcement Learning for Constrained Markov Decision Processes. AISTATS 2021: 2656-2664 - [c100]Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. ALT 2021: 306-339 - [c99]Souvik Das, Anirudh Shankar, Vaneet Aggarwal:
Training spiking neural networks with a multi-agent evolutionary robotics framework. GECCO 2021: 858-865 - [c98]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. GLOBECOM 2021: 1-6 - [c97]Glebys T. Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs:
DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. ICRA 2021: 12693-12700 - [c96]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
Novelty Detection and Adaptation: A Domain Agnostic Approach. ISIC 2021: 73-77 - [c95]Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang, Mingwei Xu:
CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints. ECML/PKDD (1) 2021: 157-173 - [c94]Mridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs:
Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. RO-MAN 2021: 1236-1242 - [c93]Servio Palacios, Drew Zabrocki, Bharat K. Bhargava, Vaneet Aggarwal:
Auditable serverless computing for farm management. BiDEDE@SIGMOD 2021: 6:1-6:6 - [c92]Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu:
Video-based AI Decision Support System for Lifting Risk Assessment. SMC 2021: 275-282 - [c91]Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal:
Communication efficient parallel reinforcement learning. UAI 2021: 247-256 - [i127]Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal:
A Supervised Learning Approach for Robust Health Monitoring using Face Videos. CoRR abs/2102.00322 (2021) - [i126]Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli:
Multi-Agent Multi-Armed Bandits with Limited Communication. CoRR abs/2102.08462 (2021) - [i125]Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal:
Communication Efficient Parallel Reinforcement Learning. CoRR abs/2102.10740 (2021) - [i124]Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob:
Quantum Entropic Causal Inference. CoRR abs/2102.11764 (2021) - [i123]Marina Haliem, Trevor Bonjour, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat K. Bhargava, Mayank Kejriwal:
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. CoRR abs/2103.00683 (2021) - [i122]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. CoRR abs/2103.03450 (2021) - [i121]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection. CoRR abs/2104.00203 (2021) - [i120]Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob:
Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach. CoRR abs/2104.13227 (2021) - [i119]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. CoRR abs/2105.14125 (2021) - [i118]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. CoRR abs/2105.14772 (2021) - [i117]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Markov Decision Processes with Long-Term Average Constraints. CoRR abs/2106.06680 (2021) - [i116]Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal:
An FEA surrogate model with Boundary Oriented Graph Embedding approach. CoRR abs/2108.13509 (2021) - [i115]Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). CoRR abs/2109.04024 (2021) - [i114]Xinwu Qian, Shuocheng Guo, Vaneet Aggarwal:
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning. CoRR abs/2109.04149 (2021) - [i113]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. CoRR abs/2109.05439 (2021) - [i112]Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. CoRR abs/2109.06332 (2021) - [i111]Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob:
Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach. CoRR abs/2111.01536 (2021) - 2020
- [j85]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. 58(12): 41-47 (2020) - [j84]Krishnandu Hazra, Vijay K. Shah, Simone Silvestri, Vaneet Aggarwal, Sajal K. Das, Subrata Nandi, Sujoy Saha:
Designing efficient communication infrastructure in post-disaster situations with limited availability of network resources. Comput. Commun. 164: 54-68 (2020) - [j83]Vaneet Aggarwal, Ruijiu Mao:
Preemptive scheduling for approximate computing on heterogeneous machines: Tradeoff between weighted accuracy and makespan. Inf. Process. Lett. 153 (2020) - [j82]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. J. Mach. Learn. Res. 21: 76:1-76:39 (2020) - [j81]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1: 155-172 (2020) - [j80]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Fundamental sampling patterns for low-rank multi-view data completion. Pattern Recognit. 103: 107307 (2020) - [j79]Shanuja Sasi, V. Lalitha, Vaneet Aggarwal, B. Sundar Rajan:
Straggler Mitigation With Tiered Gradient Codes. IEEE Trans. Commun. 68(8): 4632-4647 (2020) - [j78]Anis Elgabli, Vaneet Aggarwal:
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming Over HTTP. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2240-2249 (2020) - [j77]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang:
Low-Tubal-Rank Tensor Completion Using Alternating Minimization. IEEE Trans. Inf. Theory 66(3): 1714-1737 (2020) - [j76]Anis Elgabli, Ke Liu, Vaneet Aggarwal:
Optimized Preference-Aware Multi-Path Video Streaming with Scalable Video Coding. IEEE Trans. Mob. Comput. 19(1): 159-172 (2020) - [j75]Ke Liu, Zhongbin Zha, Wenkai Wan, Vaneet Aggarwal, Binzhang Fu, Mingyu Chen:
Optimizing TCP Loss Recovery Performance Over Mobile Data Networks. IEEE Trans. Mob. Comput. 19(6): 1401-1419 (2020) - [j74]Arnob Ghosh, Vaneet Aggarwal, Prakash Chakraborty:
Tiered Spectrum Measurement Markets for Joint Licensed and Unlicensed Secondary Access. IEEE Trans. Netw. Sci. Eng. 7(3): 1295-1309 (2020) - [j73]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
TTLCache: Taming Latency in Erasure-Coded Storage Through TTL Caching. IEEE Trans. Netw. Serv. Manag. 17(3): 1582-1596 (2020) - [j72]Ajay Badita, Parimal Parag, Vaneet Aggarwal:
Optimal Server Selection for Straggler Mitigation. IEEE/ACM Trans. Netw. 28(2): 709-721 (2020) - [c90]Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal:
Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains. Blockchain 2020: 229-236 - [c89]Yifan Shen, Ke Liu, Ziting Guo, Wenli Zhang, Guanghui Zhang, Vaneet Aggarwal, Mingyu Chen:
Freeway: an order-less user-space framework for non-real-time applications. CF 2020: 225-228 - [c88]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. CISS 2020: 1-6 - [c87]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Communication Efficient Framework for Decentralized Machine Learning. CISS 2020: 1-5 - [c86]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Algorithm with Pricing using Deep Reinforcement Learning. CSCS 2020: 5:1-5:10 - [c85]Yifan Shen, Ke Liu, Ziting Guo, Wenli Zhang, Guanghui Zhang, Vaneet Aggarwal, Mingyu Chen:
Freeway: An Order-less User-space Framework for Non-real-time Applications. HPCC/DSS/SmartCity 2020: 457-464 - [c84]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. ICASSP 2020: 8876-8880 - [c83]Nan Geng, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu:
A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering. ICNP 2020: 1-11 - [c82]Ajay Badita, Parimal Parag, Vaneet Aggarwal:
Sequential addition of coded sub-tasks for straggler mitigation. INFOCOM 2020: 746-755 - [c81]Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan:
An Embedded Index Code Construction Using Sub-packetization. ITW 2020: 1-5 - [c80]Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions. L4DC 2020: 924-934 - [c79]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: An Adaptive Model-Free Ride-Sharing Approach for Dispatching using Deep Reinforcement Learning. BuildSys@SenSys 2020: 304-305 - [i110]Qinbo Bai, Ather Gattami, Vaneet Aggarwal:
Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints. CoRR abs/2003.05555 (2020) - [i109]Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Gaussian Process Bandits by Believing only Informative Actions. CoRR abs/2003.10550 (2020) - [i108]Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. CoRR abs/2005.10855 (2020) - [i107]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. CoRR abs/2006.03594 (2020) - [i106]Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai:
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks. CoRR abs/2007.09511 (2020) - [i105]Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal:
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation. CoRR abs/2007.13699 (2020) - [i104]Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan:
An Embedded Index Code Construction Using Sub-packetization. CoRR abs/2009.11329 (2020) - [i103]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning. CoRR abs/2010.01755 (2020) - [i102]Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal:
Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains. CoRR abs/2011.06201 (2020) - [i101]Mounssif Krouka, Anis Elgabli, Mohammed Saad ElBamby, Cristina Perfecto, Mehdi Bennis, Vaneet Aggarwal:
Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming. CoRR abs/2011.06356 (2020) - [i100]Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
DART: aDaptive Accept RejecT for non-linear top-K subset identification. CoRR abs/2011.07687 (2020) - [i99]Mridul Agarwal, Vaneet Aggarwal:
Blind Decision Making: Reinforcement Learning with Delayed Observations. CoRR abs/2011.07715 (2020) - [i98]Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning. CoRR abs/2011.08999 (2020) - [i97]Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. CoRR abs/2011.14799 (2020) - [i96]Souvik Das, Anirudh Shankar, Vaneet Aggarwal:
A multi-agent evolutionary robotics framework to train spiking neural networks. CoRR abs/2012.03485 (2020) - [i95]Arnob Ghosh, Vaneet Aggarwal:
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents. CoRR abs/2012.15377 (2020)
2010 – 2019
- 2019
- [j71]Fernando Stefanello, Vaneet Aggarwal, Luciana S. Buriol, Mauricio G. C. Resende:
Hybrid algorithms for placement of virtual machines across geo-separated data centers. J. Comb. Optim. 38(3): 748-793 (2019) - [j70]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Principal component analysis with tensor train subspace. Pattern Recognit. Lett. 122: 86-91 (2019) - [j69]Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan:
Differentiated Latency in Data Center Networks with Erasure Coded Files Through Traffic Engineering. IEEE Trans. Cloud Comput. 7(2): 495-508 (2019) - [j68]Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal:
DeepChunk: Deep Q-Learning for Chunk-Based Caching in Wireless Data Processing Networks. IEEE Trans. Cogn. Commun. Netw. 5(4): 1034-1045 (2019) - [j67]Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
Optimal Linear Broadcast Rates of Some Two-Sender Unicast Index Coding Problems. IEEE Trans. Commun. 67(6): 3965-3977 (2019) - [j66]Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
On the Optimal Broadcast Rate of the Two-Sender Unicast Index Coding Problem With Fully-Participated Interactions. IEEE Trans. Commun. 67(12): 8612-8623 (2019) - [j65]Anis Elgabli, Vaneet Aggarwal:
Deadline and Buffer Constrained Knapsack Problem. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1564-1568 (2019) - [j64]Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GiantClient: Video HotSpot for Multi-User Streaming. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2833-2843 (2019) - [j63]Arnob Ghosh, Vaneet Aggarwal, Hong Wan:
Strategic Prosumers: How to Set the Prices in a Tiered Market? IEEE Trans. Ind. Informatics 15(8): 4469-4480 (2019) - [j62]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor. IEEE Trans. Inf. Theory 65(9): 5380-5400 (2019) - [j61]Tianqiong Luo, Vaneet Aggarwal, Borja Peleato:
Coded Caching With Distributed Storage. IEEE Trans. Inf. Theory 65(12): 7742-7755 (2019) - [j60]Abubakr O. Al-Abbasi, Arnob Ghosh, Vaneet Aggarwal:
DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 20(12): 4714-4727 (2019) - [j59]Yang Zhang, Arnob Ghosh, Vaneet Aggarwal, Tian Lan:
Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding. IEEE Trans. Netw. Serv. Manag. 16(1): 176-191 (2019) - [j58]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan:
TTLoC: Taming Tail Latency for Erasure-Coded Cloud Storage Systems. IEEE Trans. Netw. Serv. Manag. 16(4): 1609-1623 (2019) - [j57]Eric Friedlander, Vaneet Aggarwal:
Generalization of LRU Cache Replacement Policy with Applications to Video Streaming. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(3): 18:1-18:22 (2019) - [j56]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Moo-Ryong Ra:
Multi-Tier Caching Analysis in CDN-Based Over-the-Top Video Streaming Systems. IEEE/ACM Trans. Netw. 27(2): 835-847 (2019) - [j55]Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GroupCast: Preference-Aware Cooperative Video Streaming With Scalable Video Coding. IEEE/ACM Trans. Netw. 27(3): 1138-1150 (2019) - [j54]Anis Elgabli, Vaneet Aggarwal:
SmartStreamer: Preference-Aware Multipath Video Streaming Over MPTCP. IEEE Trans. Veh. Technol. 68(7): 6975-6984 (2019) - [j53]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
A Low-Complexity Detection Algorithm for Uplink Massive MIMO Systems Based on Alternating Minimization. IEEE Wirel. Commun. Lett. 8(3): 917-920 (2019) - [c78]Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal:
Deep Q-Learning for Chunk-based Caching in Data Processing Networks. Allerton 2019: 910-916 - [c77]Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Deep Reinforcement Learning Based Power Control for Wireless Multicast Systems. Allerton 2019: 1168-1175 - [c76]Abubakr O. Al-Abbasi, Ali A. Elghariani, Anis Elgabli, Vaneet Aggarwal:
On the Information Freshness and Tail Latency Trade-Off in Mobile Networks. GLOBECOM 2019: 1-6 - [c75]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell:
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. ICC 2019: 1-6 - [c74]Nandan Sriranga, Chandra R. Murthy, Vaneet Aggarwal:
A Method to Improve Consensus Averaging using Quantized ADMM. ISIT 2019: 507-511 - [c73]Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
Optimal Broadcast Rate of a Class of Two-Sender Unicast Index Coding Problems. ITW 2019: 1-5 - [c72]Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs:
Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. RO-MAN 2019: 1-6 - [c71]Mahadesh Panju, Ramkumar Raghu, Vaneet Aggarwal, Vinod Sharma, Ramachandran Rajesh:
Queuing Theoretic Models for Multicasting Under Fading. WCNC 2019: 1-6 - [i94]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Moo-Ryong Ra:
Multi-tier Caching Analysis in CDN-based Over-the-top Video Streaming Systems. CoRR abs/1902.04067 (2019) - [i93]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell:
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. CoRR abs/1903.00738 (2019) - [i92]Abubakr O. Al-Abbasi, Arnob Ghosh, Vaneet Aggarwal:
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning. CoRR abs/1903.03882 (2019) - [i91]Nilay Tiwari, Arnob Ghosh, Vaneet Aggarwal:
Reinforcement Learning for Mean Field Game. CoRR abs/1905.13357 (2019) - [i90]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. CoRR abs/1909.00047 (2019) - [i89]Shanuja Sasi, V. Lalitha, Vaneet Aggarwal, B. Sundar Rajan:
Straggler Mitigation with Tiered Gradient Codes. CoRR abs/1909.02516 (2019) - [i88]Mridul Agarwal, Vaneet Aggarwal:
A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making. CoRR abs/1909.02940 (2019) - [i87]Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal:
Encoders and Decoders for Quantum Expander Codes Using Machine Learning. CoRR abs/1909.02945 (2019) - [i86]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent. CoRR abs/1910.01277 (2019) - [i85]Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Deep Reinforcement Learning Based Power control for Wireless Multicast Systems. CoRR abs/1910.05308 (2019) - [i84]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. CoRR abs/1910.10453 (2019) - [i83]Ashutosh Singh, Abubakr O. Al-Abbasi, Vaneet Aggarwal:
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning. CoRR abs/1910.14002 (2019) - [i82]Ajay Badita, Parimal Parag, Vaneet Aggarwal:
Optimal Server Selection for Straggler Mitigation. CoRR abs/1911.05918 (2019) - [i81]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR abs/1912.11598 (2019) - 2018
- [j52]Dixita Limbachiya, Manish K. Gupta, Vaneet Aggarwal:
Family of Constrained Codes for Archival DNA Data Storage. IEEE Commun. Lett. 22(10): 1972-1975 (2018) - [j51]Zijian He, Vaneet Aggarwal, Shimon Y. Nof:
Differentiated service policy in smart warehouse automation. Int. J. Prod. Res. 56(22): 6956-6970 (2018) - [j50]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion. IEEE Signal Process. Lett. 25(3): 343-347 (2018) - [j49]Arnob Ghosh, Randall A. Berry, Vaneet Aggarwal:
Spectrum Measurement Markets for Tiered Spectrum Access. IEEE Trans. Cogn. Commun. Netw. 4(4): 929-941 (2018) - [j48]Vaneet Aggarwal, Zhe Wang, Xiaodong Wang, Muhammad Ismail:
Energy Scheduling for Optical Channels With Energy Harvesting Devices. IEEE Trans. Green Commun. Netw. 2(1): 154-162 (2018) - [j47]Milad Rezaee, Mahtab Mirmohseni, Vaneet Aggarwal, Mohammad Reza Aref:
Optimal Transmission Policies for Multi-Hop Energy Harvesting Systems. IEEE Trans. Green Commun. Netw. 2(3): 751-763 (2018) - [j46]Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, Subhabrata Sen:
LBP: Robust Rate Adaptation Algorithm for SVC Video Streaming. IEEE/ACM Trans. Netw. 26(4): 1633-1645 (2018) - [j45]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Video Streaming in Distributed Erasure-Coded Storage Systems: Stall Duration Analysis. IEEE/ACM Trans. Netw. 26(4): 1921-1932 (2018) - [j44]Arnob Ghosh, Vaneet Aggarwal:
Control of Charging of Electric Vehicles Through Menu-Based Pricing. IEEE Trans. Smart Grid 9(6): 5918-5929 (2018) - [j43]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Tensor Train Neighborhood Preserving Embedding. IEEE Trans. Signal Process. 66(10): 2724-2732 (2018) - [j42]Arnob Ghosh, Vaneet Aggarwal:
Menu-Based Pricing for Charging of Electric Vehicles With Vehicle-to-Grid Service. IEEE Trans. Veh. Technol. 67(11): 10268-10280 (2018) - [c70]Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal:
Wide Compression: Tensor Ring Nets. CVPR 2018: 9329-9338 - [c69]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
QoE-Aware Resource Allocation for Small Cells. GLOBECOM 2018: 1-6 - [c68]Arnob Ghosh, Randall Berry, Vaneet Aggarwal:
Spectrum Measurement Markets for Tiered Spectrum Access. ICC 2018: 1-6 - [c67]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
EdgeCache: An optimized algorithm for CDN-based over-the-top video streaming services. INFOCOM Workshops 2018: 202-207 - [c66]Ruijiu Mao, Vaneet Aggarwal, Mung Chiang:
Stochastic non-preemptive co-flow scheduling with time-indexed relaxation. INFOCOM Workshops 2018: 385-390 - [c65]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Mean latency optimization in erasure-coded distributed storage systems. INFOCOM Workshops 2018: 432-437 - [c64]Anis Elgabli, Vaneet Aggarwal:
GroupCast: Preference-aware cooperative video streaming with scalable video coding. INFOCOM Workshops 2018: 616-621 - [c63]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Stall-Quality Tradeoff for Cloud-based Video Streaming. SPCOM 2018: 6-10 - [c62]Arnob Ghosh, Vaneet Aggarwal:
Menu-Based Pricing for Profitable Electric Vehicle Charging with Vehicle-to-Grid Service. SPCOM 2018: 237-241 - [c61]Anis Elgabli, Vaneet Aggarwal, Ke Liu:
Low Complexity Algorithm for Multi-path Video Streaming. SPCOM 2018: 287-291 - [i80]Anis Elgabli, Ke Liu, Vaneet Aggarwal:
Optimized Preference-Aware Multi-path Video Streaming with Scalable Video Coding. CoRR abs/1801.01980 (2018) - [i79]Ke Liu, Zhongbin Zha, Wenkai Wan, Vaneet Aggarwal, Binzhang Fu, Mingyu Chen:
Optimizing TCP Loss Recovery Performance Over Mobile Data Networks. CoRR abs/1801.02534 (2018) - [i78]Ruijiu Mao, Vaneet Aggarwal, Mung Chiang:
Stochastic Non-preemptive Co-flow Scheduling with Time-Indexed Relaxation. CoRR abs/1802.03700 (2018) - [i77]Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal:
Wide Compression: Tensor Ring Nets. CoRR abs/1802.09052 (2018) - [i76]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Principal Component Analysis with Tensor Train Subspace. CoRR abs/1803.05026 (2018) - [i75]Arnob Ghosh, Vaneet Aggarwal, Hong Wan:
Exchange of Renewable Energy among Prosumers using Blockchain with Dynamic Pricing. CoRR abs/1804.08184 (2018) - [i74]Anis Elgabli, Vaneet Aggarwal, Shuai Hao, Feng Qian, Subhabrata Sen:
DBABP: Robust Rate Adaptation Algorithm for SVC Video Streaming. CoRR abs/1805.00041 (2018) - [i73]Anis Elgabli, Vaneet Aggarwal:
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming over HTTP. CoRR abs/1806.02803 (2018) - [i72]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Optimized Video Streaming over Cloud: A Stall-Quality Trade-off. CoRR abs/1806.09466 (2018) - [i71]Eric Friedlander, Vaneet Aggarwal:
Generalization of LRU Cache Replacement Policy with Applications to Video Streaming. CoRR abs/1806.10853 (2018) - [i70]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Robin Chen:
FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems. CoRR abs/1807.01147 (2018) - [i69]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
QoE-Aware Resource Allocation for Small Cells. CoRR abs/1808.05675 (2018) - [i68]Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
Optimal Linear Broadcast Rates of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions. CoRR abs/1808.09775 (2018) - [i67]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
A Low Complexity Detection Algorithm Based on Alternating Minimization. CoRR abs/1809.02119 (2018) - [i66]Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
On the Optimal Broadcast Rate of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions. CoRR abs/1809.08116 (2018) - [i65]Vaneet Aggarwal, Hamed Asadi, Mayank Gupta, Jae Joong Lee, Denny Yu:
Covfefe: A Computer Vision Approach For Estimating Force Exertion. CoRR abs/1809.09293 (2018) - [i64]Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GroupCast: Preference-Aware Cooperative Video Streaming with Scalable Video Coding. CoRR abs/1809.10998 (2018) - [i63]Mridul Agarwal, Vaneet Aggarwal:
Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity. CoRR abs/1811.11925 (2018) - [i62]Yang Zhang, Arnob Ghosh, Vaneet Aggarwal:
Optimized Portfolio Contracts for Bidding the Cloud. CoRR abs/1811.12901 (2018) - [i61]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Joint Information Freshness and Completion Time Optimization for Vehicular Networks. CoRR abs/1811.12924 (2018) - [i60]Arnob Ghosh, Vaneet Aggarwal, Feng Qian:
A Robust Algorithm for Tile-based 360-degree Video Streaming with Uncertain FoV Estimation. CoRR abs/1812.00816 (2018) - 2017
- [j41]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Interference management with mismatched partial channel state information. EURASIP J. Wirel. Commun. Netw. 2017: 134 (2017) - [j40]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
The DoF of Two-Way Butterfly Networks. IEEE Commun. Lett. 21(10): 2254-2257 (2017) - [j39]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the DoF of two-way 2 × 2 × 2 relay networks with or without relay caching. IET Commun. 11(13): 2089-2094 (2017) - [j38]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Rank Determination for Low-Rank Data Completion. J. Mach. Learn. Res. 18: 98:1-98:29 (2017) - [j37]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model. Pattern Recognit. Lett. 100: 104-109 (2017) - [j36]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Chen:
Optimizing Differentiated Latency in Multi-Tenant, Erasure-Coded Storage. IEEE Trans. Netw. Serv. Manag. 14(1): 204-216 (2017) - [j35]Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang:
Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. IEEE/ACM Trans. Netw. 25(6): 3683-3694 (2017) - [j34]Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong:
Joint Energy-Bandwidth Allocation for Multiuser Channels With Cooperating Hybrid Energy Nodes. IEEE Trans. Veh. Technol. 66(11): 9880-9889 (2017) - [c60]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
An approximation of the CP-rank of a partially sampled tensor. Allerton 2017: 604-611 - [c59]Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong:
Joint energy-bandwidth allocation for multi-user channels with cooperating hybrid energy nodes. ICC 2017: 1-6 - [c58]Arnob Ghosh, Vaneet Aggarwal:
Control of charging of electric vehicles through menu-based pricing under uncertainty. ICC 2017: 1-6 - [c57]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang, Muhammad Ismail:
Energy scheduling for optical channels with energy harvesting devices. ICC 2017: 1-6 - [c56]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Efficient Low Rank Tensor Ring Completion. ICCV 2017: 5698-5706 - [c55]Vaneet Aggarwal, Jingxian Fan, Tian Lan:
Taming tail latency for erasure-coded, distributee storage systems. INFOCOM 2017: 1-9 - [c54]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
A characterization of sampling patterns for low-tucker-rank tensor completion problem. ISIT 2017: 531-535 - [c53]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
A characterization of sampling patterns for low-rank multi-view data completion problem. ISIT 2017: 1147-1151 - [c52]Ke Liu, Vaneet Aggarwal, Ziyu Shao, Mingyu Chen:
Joint Upload-Download TCP Acceleration over Mobile Data Networks. SECON 2017: 1-9 - [i59]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data. CoRR abs/1701.00737 (2017) - [i58]Vaneet Aggarwal, Abubakr O. Al-Abbasi, Jingxian Fan, Tian Lan:
Taming Tail Latency for Erasure-coded, Distributed Storage Systems. CoRR abs/1703.08337 (2017) - [i57]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
Video Streaming in Distributed Erasure-coded Storage Systems: Stall Duration Analysis. CoRR abs/1703.08348 (2017) - [i56]Arnob Ghosh, Vaneet Aggarwal, Feng Qian:
A Rate Adaptation Algorithm for Tile-based 360-degree Video Streaming. CoRR abs/1704.08215 (2017) - [i55]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Rank Determination for Low-Rank Data Completion. CoRR abs/1707.00622 (2017) - [i54]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Efficient Low Rank Tensor Ring Completion. CoRR abs/1707.08184 (2017) - [i53]Vaneet Aggarwal, Maotong Xu, Tian Lan, Suresh Subramaniam:
On the Optimality of Scheduling Dependent MapReduce Tasks on Heterogeneous Machines. CoRR abs/1711.09964 (2017) - [i52]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Tensor Train Neighborhood Preserving Embedding. CoRR abs/1712.00828 (2017) - [i51]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion. CoRR abs/1712.01628 (2017) - 2016
- [j33]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Optimal Energy-Bandwidth Allocation for Energy-Harvesting Networks in Multiuser Fading Channels. IEEE J. Sel. Areas Commun. 34(5): 1565-1577 (2016) - [j32]Vaneet Aggarwal, Lauren M. Huie:
Antenna Placement for MIMO Localization Systems With Varying Quality of Receiver Hardware Elements. IEEE Signal Process. Lett. 23(12): 1732-1735 (2016) - [j31]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Symmetric $K$ -User Interference Channels With Limited Feedback. IEEE Trans. Inf. Theory 62(12): 6969-6985 (2016) - [j30]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization. IEEE Trans. Mob. Comput. 15(10): 2411-2423 (2016) - [j29]Robert Margolies, Ashwin Sridharan, Vaneet Aggarwal, Rittwik Jana, N. K. Shankaranarayanan, Vinay A. Vaishampayan, Gil Zussman:
Exploiting Mobility in Proportional Fair Cellular Scheduling: Measurements and Algorithms. IEEE/ACM Trans. Netw. 24(1): 355-367 (2016) - [j28]Pedro E. Santacruz, Vaneet Aggarwal, Ashutosh Sabharwal:
Leveraging Physical-Layer Capabilites: Distributed Scheduling in Interference Networks With Local Views. IEEE/ACM Trans. Netw. 24(1): 368-382 (2016) - [j27]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen:
Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage. IEEE/ACM Trans. Netw. 24(4): 2443-2457 (2016) - [j26]Zhe Wang, Xiaodong Wang, Vaneet Aggarwal:
Transmission With Energy Harvesting Nodes in Frequency-Selective Fading Channels. IEEE Trans. Wirel. Commun. 15(3): 1642-1656 (2016) - [c51]Vaneet Aggarwal, Shuchin Aeron:
A note on information-theoretic bounds on matrix completion under union of subspaces model. Allerton 2016: 281-283 - [c50]Vaneet Aggarwal, Ajay Mahimkar, Hongyao Ma, Zemin Zhang, Shuchin Aeron, Walter Willinger:
Inferring smartphone service quality using tensor methods. CNSM 2016: 263-267 - [c49]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting. ICASSP 2016: 2529-2533 - [c48]Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang:
Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. ICDCS 2016: 753-754 - [c47]Rajarajan Sivaraj, Ioannis Broustis, N. K. Shankaranarayanan, Vaneet Aggarwal, Rittwik Jana, Prasant Mohapatra:
A QoS-enabled holistic optimization framework for LTE-Advanced heterogeneous networks. INFOCOM 2016: 1-9 - [c46]Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal:
On deterministic conditions for subspace clustering under missing data. ISIT 2016: 850-854 - [i50]Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan:
Differentiated latency in data center networks with erasure coded files through traffic engineering. CoRR abs/1602.05551 (2016) - [i49]Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal:
On deterministic conditions for subspace clustering under missing data. CoRR abs/1604.04615 (2016) - [i48]Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal:
On Deterministic Conditions for Subspace Clustering under Missing Data. CoRR abs/1607.03191 (2016) - [i47]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
The DoF of Two-way Butterfly Networks. CoRR abs/1607.06042 (2016) - [i46]Vaneet Aggarwal, Tian Lan:
Tail Index for a Distributed Storage System with Pareto File Size Distribution. CoRR abs/1607.06044 (2016) - [i45]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Tensor Completion by Alternating Minimization under the Tensor Train (TT) Model. CoRR abs/1609.05587 (2016) - [i44]Arnob Ghosh, Vaneet Aggarwal:
Control of Charging of Electric Vehicles through Menu-Based Pricing. CoRR abs/1609.09037 (2016) - [i43]Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang:
Sprout: A functional caching approach to minimize service latency in erasure-coded storage. CoRR abs/1609.09827 (2016) - [i42]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang:
Low-tubal-rank Tensor Completion using Alternating Minimization. CoRR abs/1610.01690 (2016) - [i41]Vaneet Aggarwal, Mark R. Bell, Anis Elgabli, Xiaodong Wang, Shan Zhong:
Joint Energy-Bandwidth Allocation for Multi-User Channels with Cooperating Hybrid Energy Nodes. CoRR abs/1611.05225 (2016) - [i40]Tianqiong Luo, Vaneet Aggarwal, Borja Peleato:
Coded Caching with Distributed Storage. CoRR abs/1611.06591 (2016) - [i39]Vaneet Aggarwal:
Reliability of k-out-of-n Data Storage System with Deterministic Parallel and Serial Repair. CoRR abs/1611.08514 (2016) - [i38]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the DoF of Two-way 2×2×2 Relay Networks with or without Relay Caching. CoRR abs/1611.08660 (2016) - [i37]Arnob Ghosh, Vaneet Aggarwal:
Menu-Based Pricing for Charging of Electric Vehicles with Vehicle-to-Grid Service. CoRR abs/1612.00106 (2016) - [i36]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Deterministic and Probabilistic Conditions for Finite Completability of Low Rank Tensor. CoRR abs/1612.01597 (2016) - [i35]Milad Rezaee, Mahtab Mirmohseni, Vaneet Aggarwal, Mohammad Reza Aref:
Optimal Transmission Policies for Multi-hop Energy Harvesting Systems. CoRR abs/1612.09496 (2016) - 2015
- [j25]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Iterative Dynamic Water-Filling for Fading Multiple-Access Channels With Energy Harvesting. IEEE J. Sel. Areas Commun. 33(3): 382-395 (2015) - [j24]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Capacity of Energy Harvesting Communication Link. IEEE J. Sel. Areas Commun. 33(12): 2671-2686 (2015) - [j23]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Joint Energy-Bandwidth Allocation in Multiple Broadcast Channels With Energy Harvesting. IEEE Trans. Commun. 63(10): 3842-3855 (2015) - [j22]Chao Tian, Birenjith Sasidharan, Vaneet Aggarwal, Vinay A. Vaishampayan, P. Vijay Kumar:
Layered Exact-Repair Regenerating Codes via Embedded Error Correction and Block Designs. IEEE Trans. Inf. Theory 61(4): 1933-1947 (2015) - [j21]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Capacity Regions of Two-Way Diamond Channels. IEEE Trans. Inf. Theory 61(11): 6060-6090 (2015) - [c45]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Energy harvesting communication using limited battery with efficiency. Allerton 2015: 301-306 - [c44]Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan:
Taming Latency in Data Center Networking with Erasure Coded Files. CCGRID 2015: 241-250 - [c43]Fernando Stefanello, Vaneet Aggarwal, Luciana Salete Buriol, José Fernando Gonçalves, Mauricio G. C. Resende:
A Biased Random-key Genetic Algorithm for Placement of Virtual Machines across Geo-Separated Data Centers. GECCO 2015: 919-926 - [c42]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen:
Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services. ICDCS 2015: 790-791 - [c41]Rajarajan Sivaraj, Ioannis Broustis, N. K. Shankaranarayanan, Vaneet Aggarwal, Prasant Mohapatra:
Mitigating macro-cell outage in LTE-Advanced deployments. INFOCOM 2015: 1284-1292 - [c40]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Capacity of two-way linear deterministic diamond channel. ISIT 2015: 1896-1900 - [c39]Zhe Wang, Xiaodong Wang, Vaneet Aggarwal:
Energy-subchannel allocation for energy harvesting nodes in frequency-selective channels. ISIT 2015: 2712-2716 - [c38]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Energy-bandwidth allocation in multiple orthogonal broadcast channels with energy harvesting. ISIT 2015: 2717-2721 - [i34]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu:
Fine-grained Indoor Localization with Adaptively Sampled RF Fingerprints. CoRR abs/1508.02324 (2015) - [i33]Vaneet Aggarwal, Shuchin Aeron:
Information-theoretic Bounds on Matrix Completion under Union of Subspaces Model. CoRR abs/1508.03395 (2015) - 2014
- [j20]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen:
Joint latency and cost optimization for erasurecoded data center storage. SIGMETRICS Perform. Evaluation Rev. 42(2): 3-14 (2014) - [j19]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Power Allocation for Energy Harvesting Transmitter With Causal Information. IEEE Trans. Commun. 62(11): 4080-4093 (2014) - [j18]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Capacity and Degrees of Freedom Regions of Two-User MIMO Interference Channels With Limited Receiver Cooperation. IEEE Trans. Inf. Theory 60(7): 4170-4196 (2014) - [j17]Melissa Duarte, Ashutosh Sabharwal, Vaneet Aggarwal, Rittwik Jana, K. K. Ramakrishnan, Christopher W. Rice, N. K. Shankaranarayanan:
Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks. IEEE Trans. Veh. Technol. 63(3): 1160-1177 (2014) - [c37]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the symmetric K-user linear deterministic interference channels with limited feedback. Allerton 2014: 366-371 - [c36]Robert Margolies, Ashwin Sridharan, Vaneet Aggarwal, Rittwik Jana, N. K. Shankaranarayanan, Vinay A. Vaishampayan, Gil Zussman:
Exploiting mobility in proportional fair cellular scheduling: Measurements and algorithms. INFOCOM 2014: 1339-1347 - [c35]Vaneet Aggarwal, Chao Tian, Vinay A. Vaishampayan, Yih-Farn Robin Chen:
Distributed data storage systems with opportunistic repair. INFOCOM 2014: 1833-1841 - [c34]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Optimal energy-bandwidth allocation for energy harvesting interference networks. ISIT 2014: 1166-1170 - [c33]Athula Balachandran, Vaneet Aggarwal, Emir Halepovic, Jeffrey Pang, Srinivasan Seshan, Shobha Venkataraman, He Yan:
Modeling web quality-of-experience on cellular networks. MobiCom 2014: 213-224 - [c32]Vaneet Aggarwal, Emir Halepovic, Jeffrey Pang, Shobha Venkataraman, He Yan:
Prometheus: toward quality-of-experience estimation for mobile apps from passive network measurements. HotMobile 2014: 18:1-18:6 - [i32]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Iterative Dynamic Water-filling for Fading Multiple-Access Channels with Energy Harvesting. CoRR abs/1401.2376 (2014) - [i31]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Power Allocation for Energy Harvesting Transmitter with Causal Information. CoRR abs/1401.2410 (2014) - [i30]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Symmetric K-user Interference Channels with Limited Feedback. CoRR abs/1403.0957 (2014) - [i29]Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen:
Joint Latency and Cost Optimization for Erasure-coded Data Center Storage. CoRR abs/1404.4975 (2014) - [i28]Chao Tian, Birenjith Sasidharan, Vaneet Aggarwal, Vinay A. Vaishampayan, P. Vijay Kumar:
Layered, Exact-Repair Regenerating Codes Via Embedded Error Correction and Block Designs. CoRR abs/1408.0377 (2014) - [i27]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Multiuser Joint Energy-Bandwidth Allocation with Energy Harvesting - Part I: Optimum Algorithm & Multiple Point-to-Point Channels. CoRR abs/1410.2861 (2014) - [i26]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Multiuser Joint Energy-Bandwidth Allocation with Energy Harvesting - Part II: Multiple Broadcast Channels & Proportional Fairness. CoRR abs/1410.2867 (2014) - [i25]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Capacity Regions of Two-Way Diamond Channels. CoRR abs/1410.5085 (2014) - 2013
- [j16]Vaneet Aggarwal, N. K. Shankaranarayanan:
Performance of a Random-Access Wireless Network With a Mix of Full- and Half-Duplex Stations. IEEE Commun. Lett. 17(11): 2200-2203 (2013) - [j15]Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal:
Capacity of All Nine Models of Channel Output Feedback for the Two-User Interference Channel. IEEE Trans. Inf. Theory 59(11): 6957-6979 (2013) - [j14]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Capacity Region and the Generalized Degrees of Freedom Region for the MIMO Interference Channel With Feedback. IEEE Trans. Inf. Theory 59(12): 8357-8376 (2013) - [j13]Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Vinay A. Vaishampayan:
Optimizing Cloud Resources for Delivering IPTV Services Through Virtualization. IEEE Trans. Multim. 15(4): 789-801 (2013) - [c31]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Degrees of freedom region for MIMO interference channel with limited receiver cooperation. Allerton 2013: 1152-1158 - [c30]Zhe Wang, Vaneet Aggarwal, Xiaodong Wang:
Renewable energy scheduling for fading channels with maximum power constraint. Allerton 2013: 1394-1400 - [c29]Pedro E. Santacruz, Vaneet Aggarwal, Ashutosh Sabharwal:
Beyond interference avoidance: Distributed sub-network scheduling in wireless networks with local views. INFOCOM 2013: 460-464 - [c28]Chao Tian, Vaneet Aggarwal, Vinay A. Vaishampayan:
Exact-repair regenerating codes via layered erasure correction and block designs. ISIT 2013: 1431-1435 - [c27]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Generalized degrees of freedom region for MIMO interference channel with feedback. ISIT 2013: 1779-1783 - [i24]Chao Tian, Vaneet Aggarwal, Vinay A. Vaishampayan:
Exact-Repair Regenerating Codes Via Layered Erasure Correction and Block Designs. CoRR abs/1302.4670 (2013) - [i23]Vaneet Aggarwal, N. K. Shankaranarayanan:
Performance of a random-access wireless network with a mix of full- and half-duplex stations. CoRR abs/1303.3247 (2013) - [i22]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Capacity and Degrees of Freedom Regions of MIMO Interference Channels with Limited Receiver Cooperation. CoRR abs/1308.3310 (2013) - [i21]Pedro E. Santacruz, Vaneet Aggarwal, Ashutosh Sabharwal:
Leveraging Physical Layer Capabilites: Distributed Scheduling in Interference Networks with Local Views. CoRR abs/1310.6443 (2013) - [i20]Vaneet Aggarwal, Chao Tian, Vinay A. Vaishampayan, Yih-Farn Robin Chen:
Distributed Data Storage Systems with Opportunistic Repair. CoRR abs/1311.4096 (2013) - 2012
- [j12]Vaneet Aggarwal, Youjian Liu, Ashutosh Sabharwal:
Sum Capacity of Interference Channels With a Local View: Impact of Distributed Decisions. IEEE Trans. Inf. Theory 58(3): 1630-1659 (2012) - [c26]Khawla Alnajjar, Vaneet Aggarwal, Vinay A. Vaishampayan, Xiaodong Wang:
Aligned precoder designs for interference channels based on chordal distance. CISS 2012: 1-5 - [c25]Wei Wang, Peng Zhang, Tian Lan, Vaneet Aggarwal:
Datacenter net profit optimization with deadline dependent pricing. CISS 2012: 1-6 - [c24]Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Vinay A. Vaishampayan:
Optimizing cloud resources for delivering IPTV services through virtualization. COMSNETS 2012: 1-10 - [c23]Vaneet Aggarwal:
Writing on insertion paper. ICC 2012: 2219-2222 - [c22]Vaneet Aggarwal, Melissa Duarte, Ashutosh Sabharwal, N. K. Shankaranarayanan:
Full- or half-duplex? A capacity analysis with bounded radio resources. ITW 2012: 207-211 - [i19]Vaneet Aggarwal, Shankar Krishnan:
Achieving Approximate Soft Clustering in Data Streams. CoRR abs/1207.6199 (2012) - [i18]Melissa Duarte, Ashutosh Sabharwal, Vaneet Aggarwal, Rittwik Jana, K. K. Ramakrishnan, Christopher W. Rice, N. K. Shankaranarayanan:
Design and Characterization of a Full-duplex Multi-antenna System for WiFi networks. CoRR abs/1210.1639 (2012) - [i17]Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
On the Capacity Region and the Generalized Degrees of Freedom Region for MIMO Interference Channel with Feedback. CoRR abs/1212.4902 (2012) - 2011
- [j11]Satashu Goel, Vaneet Aggarwal, Aylin Yener, A. Robert Calderbank:
The Effect of Eavesdroppers on Network Connectivity: A Secrecy Graph Approach. IEEE Trans. Inf. Forensics Secur. 6(3-1): 712-724 (2011) - [j10]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
On Achieving Local View Capacity Via Maximal Independent Graph Scheduling. IEEE Trans. Inf. Theory 57(5): 2711-2729 (2011) - [j9]Vaneet Aggarwal, Ashutosh Sabharwal:
Bits About the Channel: Multiround Protocols for Two-Way Fading Channels. IEEE Trans. Inf. Theory 57(6): 3352-3370 (2011) - [c21]Kanes Sutuntivorakoon, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Maximal k-Clique Scheduling: A simple algorithm to bound maximal independent graph scheduling. Allerton 2011: 816-823 - [c20]Vaneet Aggarwal, Rittwik Jana, Jeffrey Pang, K. K. Ramakrishnan, N. K. Shankaranarayanan:
Characterizing fairness for 3G wireless networks. LANMAN 2011: 1-6 - [c19]Rajesh Krishna Panta, Rittwik Jana, Robert J. Hall, Josh Auzins, Vaneet Aggarwal:
Scalable geocast for vehicular networks (poster). VNC 2011: 276-283 - [i16]Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal:
Effective Relaying in Two-user Interference Channel with Different Models of Channel Output Feedback. CoRR abs/1104.4805 (2011) - [i15]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Wireless Network Coding with Local Network Views: Coded Layer Scheduling. CoRR abs/1106.5742 (2011) - 2010
- [j8]Vaneet Aggarwal, A. Robert Calderbank, Gerald Gilbert, Yaakov S. Weinstein:
Volume thresholds for quantum fault tolerance. Quantum Inf. Process. 9(5): 541-549 (2010) - [j7]Vaneet Aggarwal, Ashutosh Sabharwal:
Power-controlled feedback and training for two-way MIMO channels. IEEE Trans. Inf. Theory 56(7): 3310-3331 (2010) - [c18]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
On the capacity of multi-hop wireless networks with partial network knowledge. Allerton 2010: 1030-1037 - [c17]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
How (information theoretically) optimal are distributed decisions? CISS 2010: 1-5 - [c16]Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal:
Sum capacity of general deterministic interference channel with channel output feedback. ISIT 2010: 335-339 - [c15]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Normalized sum-capacity of interference networks with partial information. ISIT 2010: 415-419 - [c14]Satashu Goel, Vaneet Aggarwal, Aylin Yener, A. Robert Calderbank:
Modeling location uncertainty for eavesdroppers: A secrecy graph approach. ISIT 2010: 2627-2631 - [i14]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
On Achieving Local View Capacity Via Maximal Independent Graph Scheduling. CoRR abs/1004.5588 (2010) - [i13]Alireza Vahid, Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
On the Capacity of Multi-Hop Wireless Networks with Partial Network Knowledge. CoRR abs/1010.1060 (2010)
2000 – 2009
- 2009
- [j6]Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor:
Secrecy Capacity of a Class of Orthogonal Relay Eavesdropper Channels. EURASIP J. Wirel. Commun. Netw. 2009 (2009) - [j5]Vaneet Aggarwal, Amir Bennatan, A. Robert Calderbank:
On maximizing coverage in Gaussian relay channels. IEEE Trans. Inf. Theory 55(6): 2518-2536 (2009) - [j4]Amir Bennatan, Vaneet Aggarwal, Yiyue Wu, A. Robert Calderbank, Jakob Hoydis, Aik Chindapol:
Bounds and lattice-based transmission strategies for the phase-faded dirty-paper channel. IEEE Trans. Wirel. Commun. 8(7): 3620-3627 (2009) - [c13]Vaneet Aggarwal, Salman Avestimehr, Ashutosh Sabharwal:
Distributed universally optimal strategies for interference channels with partial message passing. Allerton 2009: 579-584 - [c12]Jun Xiao, Vaneet Aggarwal, Ashutosh Sabharwal, Youjian Liu:
Interference networks with local view: A distributed optimization approach. Allerton 2009: 1195-1202 - [c11]Vaneet Aggarwal, Lorne Applebaum, Amir Bennatan, A. Robert Calderbank, Stephen D. Howard, Stephen J. Searle:
Enhanced CDMA communications using compressed-sensing reconstruction methods. Allerton 2009: 1211-1215 - [c10]A. Robert Calderbank, Gerald Gilbert, Yaakov S. Weinstein, Vaneet Aggarwal:
Engineering fault tolerance for realistic quantum systems via the full error dynamics of quantum codes. ISIT 2009: 958-962 - [c9]Vaneet Aggarwal, Youjian Liu, Ashutosh Sabharwal:
Message passing in distributed wireless networks. ISIT 2009: 1090-1094 - [c8]Vaneet Aggarwal, Lifeng Lai, A. Robert Calderbank, H. Vincent Poor:
Wiretap channel type II with an active eavesdropper. ISIT 2009: 1944-1948 - [c7]H. Vincent Poor, Lalitha Sankar, Vaneet Aggarwal, A. Robert Calderbank:
Information secrecy from multiple eavesdroppers in orthogonal relay channels. ISIT 2009: 2607-2611 - [c6]Vaneet Aggarwal, A. Robert Calderbank, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Fang Yu:
The effectiveness of intelligent scheduling for multicast video-on-demand. ACM Multimedia 2009: 421-430 - [i12]Vaneet Aggarwal, Ashutosh Sabharwal:
Power-Controlled Feedback and Training for Two-way MIMO Channels. CoRR abs/0901.1288 (2009) - [i11]Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor:
Ergodic Layered Erasure One-Sided Interference Channels. CoRR abs/0904.1956 (2009) - [i10]Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal:
On Channel Output Feedback in Deterministic Interference Channels. CoRR abs/0905.2392 (2009) - [i9]Vaneet Aggarwal, Ashutosh Sabharwal:
Bits About the Channel: Multi-round Protocols for Two-way Fading Channels. CoRR abs/0909.1011 (2009) - [i8]Vaneet Aggarwal, Youjian Liu, Ashutosh Sabharwal:
Sum-capacity of Interference Channels with a Local View: Impact of Distributed Decisions. CoRR abs/0910.3494 (2009) - [i7]Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal:
Distributed Universally Optimal Strategies for Interference Channels with Partial Message Passing. CoRR abs/0910.3840 (2009) - 2008
- [j3]Vaneet Aggarwal, Ashutosh Sabharwal:
Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information. EURASIP J. Wirel. Commun. Netw. 2008 (2008) - [j2]Vaneet Aggarwal, Ashutosh Sabharwal:
Performance of multiple access channels with asymmetric feedback. IEEE J. Sel. Areas Commun. 26(8): 1516-1525 (2008) - [j1]Vaneet Aggarwal, A. Robert Calderbank:
Boolean Functions, Projection Operators, and Quantum Error Correcting Codes. IEEE Trans. Inf. Theory 54(4): 1700-1707 (2008) - [c5]Vaneet Aggarwal, Gajanana Krishna, Srikrishna Bhashyam, Ashutosh Sabharwal:
Two models for noisy feedback in MIMO channels. ACSCC 2008: 718-722 - [c4]Vaneet Aggarwal, Ashutosh Sabharwal:
On multiple access channels with asymmetric feedback. ISIT 2008: 399-403 - [c3]Vaneet Aggarwal, Ashutosh Sabharwal:
Diversity order gain with noisy feedback in multiple access channels. ISIT 2008: 404-408 - [i6]Vaneet Aggarwal, Amir Bennatan, A. Robert Calderbank:
On Maximizing Coverage in Gaussian Relay Networks. CoRR abs/0802.2360 (2008) - [i5]Vaneet Aggarwal:
Distributed Joint Source-Channel Coding for arbitrary memoryless correlated sources and Source coding for Markov correlated sources using LDPC codes. CoRR abs/0802.2666 (2008) - [i4]Vaneet Aggarwal, Ashutosh Sabharwal:
Diversity Order Gain with Noisy Feedback in Multiple Access Channels. CoRR abs/0805.0034 (2008) - [i3]Vaneet Aggarwal, Gajanana Krishna, Srikrishna Bhashyam, Ashutosh Sabharwal:
Two Models for Noisy Feedback in MIMO Channels. CoRR abs/0811.4200 (2008) - [i2]Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor:
Secrecy capacity of a class of orthogonal relay eavesdropper channels. CoRR abs/0812.2275 (2008) - 2007
- [c2]Vaneet Aggarwal, A. Robert Calderbank:
Boolean Functions, Projection Operators and Quantum Error Correcting Codes. ISIT 2007: 2091-2095 - [c1]Vaneet Aggarwal, Amir Bennatan, A. Robert Calderbank:
On Maximizing Coverage in Gaussian Relay Networks. ITW 2007: 1-5 - 2006
- [i1]Vaneet Aggarwal, A. Robert Calderbank:
Boolean Functions, Projection Operators and Quantum Error Correcting Codes. CoRR abs/cs/0610159 (2006)
Coauthor Index
Amir Salman Avestimehr
aka: Salman Avestimehr
aka: Salman Avestimehr
Amrit S. Bedi
aka: Amrit Singh Bedi
aka: Amrit Singh Bedi
Yih-Farn Robin Chen
aka: Yih-Farn Chen
aka: Yih-Farn Chen
[j147] [i194] [i181] [j143] [j135] [j133] [j124] [c127] [c124] [c120] [i166] [i164] [i163] [i161] [i159] [i158] [j122] [c115] [c114] [c111] [c110] [i146] [i145] [i136] [i132] [i131] [i128] [j100] [j99] [j97] [j90] [c102] [c95] [i122] [c83] [i108] [j69] [j68] [j59] [j58] [c78] [i70] [j36] [j35] [c55] [i58] [i53] [j27] [c48] [i50] [i46] [i43] [c44] [c42] [j20] [i29] [c25]
Christopher J. Quinn
aka: Christopher John Quinn
aka: Christopher John Quinn
Abhishek K. Umrawal
aka: Abhishek Kumar Umrawal
aka: Abhishek Kumar Umrawal
[j80] [j77] [j62] [j50] [j48] [j40] [j39] [j38] [j34] [c60] [c59] [c57] [c54] [c53] [i59] [i55] [i51] [j33] [j31] [j30] [j26] [c49] [i47] [i42] [i41] [i38] [i36] [j25] [j24] [j23] [j21] [c45] [c40] [c39] [c38] [i34] [j19] [j18] [c37] [c34] [i32] [i31] [i30] [i27] [i26] [i25] [j14] [c31] [c30] [c27] [i22] [c26] [i17]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
