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2020 – today
- 2024
[c32]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic:
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. AISTATS 2024: 100-108- [c31]Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic:
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. AAMAS 2024: 973-982 - [i39]Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, Miguel Rodrigues:
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. CoRR abs/2402.02629 (2024) - [i38]Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou-Ammar, Ilija Bogunovic:
Group Robust Preference Optimization in Reward-free RLHF. CoRR abs/2405.20304 (2024) - [i37]Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic:
Adversarial Robust Decision Transformer: Enhancing Robustness of RvS via Minimax Returns-to-go. CoRR abs/2407.18414 (2024) - [i36]Seongho Son, William Bankes, Sayak Ray Chowdhury, Brooks Paige, Ilija Bogunovic:
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift. CoRR abs/2407.18676 (2024) - [i35]Theodore Brown, Alexandru Cioba, Ilija Bogunovic:
Sample-efficient Bayesian Optimisation Using Known Invariances. CoRR abs/2410.16972 (2024) - [i34]Xiaohang Tang, Chiyuan Wang, Chengdong Ma, Ilija Bogunovic, Stephen McAleer, Yaodong Yang:
Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games. CoRR abs/2411.00954 (2024) - 2023
- [j2]Barna Pásztor, Andreas Krause, Ilija Bogunovic:
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c30]Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári:
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. AISTATS 2023: 6342-6370 - [c29]Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic:
Near-optimal Policy Identification in Active Reinforcement Learning. ICLR 2023 - [i33]Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári:
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2302.04376 (2023) - [i32]Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic:
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR abs/2306.17052 (2023) - [i31]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic:
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. CoRR abs/2309.02236 (2023) - [i30]Wei Wang, Sattar Vakili, Ilija Bogunovic:
Robust Best-arm Identification in Linear Bandits. CoRR abs/2311.04731 (2023) - [i29]Viraj Mehta, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Jeff G. Schneider, Willie Neiswanger:
Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. CoRR abs/2312.00267 (2023) - [i28]William Bankes, George Hughes, Ilija Bogunovic, Zi Wang:
REDUCR: Robust Data Downsampling Using Class Priority Reweighting. CoRR abs/2312.00486 (2023) - 2022
- [c28]Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett:
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits. NeurIPS 2022 - [c27]Parnian Kassraie, Andreas Krause, Ilija Bogunovic:
Graph Neural Network Bandits. NeurIPS 2022 - [c26]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic:
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. NeurIPS 2022 - [i27]Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett:
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits. CoRR abs/2202.01850 (2022) - [i26]Parnian Kassraie, Andreas Krause, Ilija Bogunovic:
Graph Neural Network Bandits. CoRR abs/2207.06456 (2022) - [i25]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic:
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. CoRR abs/2210.08087 (2022) - [i24]Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic:
Near-optimal Policy Identification in Active Reinforcement Learning. CoRR abs/2212.09510 (2022) - 2021
- [c25]Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett:
Stochastic Linear Bandits Robust to Adversarial Attacks. AISTATS 2021: 991-999 - [c24]Sebastian Curi, Ilija Bogunovic, Andreas Krause
:
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. ICML 2021: 2254-2264 - [c23]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML 2021: 9455-9464 - [c22]Ilija Bogunovic, Andreas Krause:
Misspecified Gaussian Process Bandit Optimization. NeurIPS 2021: 3004-3015 - [c21]Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause:
Risk-averse Heteroscedastic Bayesian Optimization. NeurIPS 2021: 17235-17245 - [c20]Benjamin Bichsel, Samuel Steffen, Ilija Bogunovic, Martin T. Vechev:
DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers. SP 2021: 391-409 - [i23]Jingkang Wang, Mengye Ren, Ilija Bogunovic, Yuwen Xiong, Raquel Urtasun:
Cost-Efficient Online Hyperparameter Optimization. CoRR abs/2101.06590 (2021) - [i22]Sebastian Curi, Ilija Bogunovic, Andreas Krause:
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. CoRR abs/2103.10369 (2021) - [i21]Barna Pásztor, Ilija Bogunovic, Andreas Krause:
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning. CoRR abs/2107.04050 (2021) - [i20]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. CoRR abs/2107.06327 (2021) - [i19]Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause:
Risk-averse Heteroscedastic Bayesian Optimization. CoRR abs/2111.03637 (2021) - [i18]Ilija Bogunovic, Andreas Krause:
Misspecified Gaussian Process Bandit Optimization. CoRR abs/2111.05008 (2021) - 2020
- [c19]Ilija Bogunovic, Andreas Krause, Jonathan Scarlett:
Corruption-Tolerant Gaussian Process Bandit Optimization. AISTATS 2020: 1071-1081 - [c18]Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause:
Distributionally Robust Bayesian Optimization. AISTATS 2020: 2174-2184 - [c17]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS 2020: 2970-2980 - [c16]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. NeurIPS 2020 - [c15]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. NeurIPS 2020 - [i17]Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause:
Distributionally Robust Bayesian Optimization. CoRR abs/2002.09038 (2020) - [i16]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR abs/2002.12613 (2020) - [i15]Ilija Bogunovic, Andreas Krause, Jonathan Scarlett:
Corruption-Tolerant Gaussian Process Bandit Optimization. CoRR abs/2003.01971 (2020) - [i14]Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett:
Stochastic Linear Bandits Robust to Adversarial Attacks. CoRR abs/2007.03285 (2020) - [i13]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. CoRR abs/2007.05271 (2020)
2010 – 2019
- 2019
- [b1]Ilija Bogunovic:
Robust Adaptive Decision Making: Bayesian Optimization and Beyond. EPFL, Switzerland, 2019 - [c14]Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
Overlapping Multi-Bandit Best Arm Identification. ISIT 2019: 2544-2548 - [c13]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS 2019: 13602-13611 - [i12]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR abs/1909.08540 (2019) - 2018
- [c12]Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. AISTATS 2018: 298-307 - [c11]Ilija Bogunovic, Junyao Zhao, Volkan Cevher:
Robust Maximization of Non-Submodular Objectives. AISTATS 2018: 890-899 - [c10]Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher:
Adversarially Robust Optimization with Gaussian Processes. NeurIPS 2018: 5765-5775 - [i11]Paul Rolland, Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups. CoRR abs/1802.07028 (2018) - [i10]Ilija Bogunovic, Junyao Zhao, Volkan Cevher:
Robust Maximization of Non-Submodular Objectives. CoRR abs/1802.07073 (2018) - [i9]Ilija Bogunovic, Jonathan Scarlett, Stefanie Jegelka, Volkan Cevher:
Adversarially Robust Optimization with Gaussian Processes. CoRR abs/1810.10775 (2018) - 2017
- [c9]Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher:
A distributed algorithm for partitioned robust submodular maximization. CAMSAP 2017: 1-5 - [c8]Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. COLT 2017: 1723-1742 - [c7]Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher:
Robust Submodular Maximization: A Non-Uniform Partitioning Approach. ICML 2017: 508-516 - [c6]Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher:
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. NIPS 2017: 4557-4566 - [i8]Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher:
Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization. CoRR abs/1706.00090 (2017) - [i7]Ilija Bogunovic, Slobodan Mitrovic, Jonathan Scarlett, Volkan Cevher:
Robust Submodular Maximization: A Non-Uniform Partitioning Approach. CoRR abs/1706.04918 (2017) - [i6]Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher:
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach. CoRR abs/1711.02598 (2017) - 2016
- [j1]Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gozcu, Ilija Bogunovic, Volkan Cevher:
Learning-Based Compressive Subsampling. IEEE J. Sel. Top. Signal Process. 10(4): 809-822 (2016) - [c5]Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher:
Time-Varying Gaussian Process Bandit Optimization. AISTATS 2016: 314-323 - [c4]Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher:
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. NIPS 2016: 1507-1515 - [c3]Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher:
An Efficient Streaming Algorithm for the Submodular Cover Problem. NIPS 2016: 4493-4501 - [i5]Ilija Bogunovic, Jonathan Scarlett, Volkan Cevher:
Time-Varying Gaussian Process Bandit Optimization. CoRR abs/1601.06650 (2016) - [i4]Ilija Bogunovic, Jonathan Scarlett, Andreas Krause, Volkan Cevher:
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation. CoRR abs/1610.07379 (2016) - [i3]Ashkan Norouzi-Fard, Abbas Bazzi, Marwa El Halabi, Ilija Bogunovic, Ya-Ping Hsieh, Volkan Cevher:
An Efficient Streaming Algorithm for the Submodular Cover Problem. CoRR abs/1611.08574 (2016) - 2015
- [c2]Ilija Bogunovic, Volkan Cevher, Jarvis D. Haupt, Jonathan Scarlett:
Active learning of self-concordant like multi-index functions. ICASSP 2015: 2189-2193 - [i2]Luca Baldassarre, Yen-Huan Li, Jonathan Scarlett, Baran Gözcü, Ilija Bogunovic, Volkan Cevher:
Learning-based Compressive Subsampling. CoRR abs/1510.06188 (2015) - 2014
- [c1]Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause:
Near-Optimally Teaching the Crowd to Classify. ICML 2014: 154-162 - [i1]Adish Singla, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, Andreas Krause:
Near-Optimally Teaching the Crowd to Classify. CoRR abs/1402.2092 (2014)
Coauthor Index
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