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2020 – today
- 2024
[i10]Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Learning to Control Unknown Strongly Monotone Games. CoRR abs/2407.00575 (2024)- 2023
- [j12]Batchen Eden
, Ilai Bistritz, Nicholas Bambos, Irad Ben-Gal, Evgeni Khmelnitsky:
Personalized and Energy-Efficient Health Monitoring: A Reinforcement Learning Approach. IEEE Control. Syst. Lett. 7: 955-960 (2023) - [c22]Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics. AAMAS 2023: 1336-1344 - [c21]Ilai Bistritz, Nicholas Bambos:
Admission Control for Games with a Dynamic Set of Players. CDC 2023: 1219-1224 - [c20]Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Tug of Peace: Distributed Learning for Quality of Service Guarantees. CDC 2023: 2346-2351 - [i9]Siddharth Chandak, Ilai Bistritz, Nicholas Bambos:
Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics. CoRR abs/2302.13653 (2023) - 2022
- [j11]Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, José H. Blanchet:
No Weighted-Regret Learning in Adversarial Bandits with Delays. J. Mach. Learn. Res. 23: 139:1-139:43 (2022) - [j10]Ilai Bistritz, Andrew Ward, Zhengyuan Zhou, Nicholas Bambos:
Smart Greedy Distributed Energy Allocation: A Random Games Approach. IEEE Trans. Autom. Control. 67(5): 2208-2220 (2022) - [j9]Ilai Bistritz, Nasimeh Heydaribeni, Achilleas Anastasopoulos:
Informational Cascades With Nonmyopic Agents. IEEE Trans. Autom. Control. 67(9): 4451-4466 (2022) - [c19]Ariana J. Mann, Ilai Bistritz, Nicholas Bambos:
Active Testing for an Emerging Epidemic. HealthCom 2022: 7-12 - [c18]Ilai Bistritz, Nicholas Bambos:
Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits. NeurIPS 2022 - 2021
- [j8]Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos:
One for All and All for One: Distributed Learning of Fair Allocations With Multi-Player Bandits. IEEE J. Sel. Areas Inf. Theory 2(2): 584-598 (2021) - [j7]Ilai Bistritz, Amir Leshem:
Game of Thrones: Fully Distributed Learning for Multiplayer Bandits. Math. Oper. Res. 46(1): 159-178 (2021) - [j6]Yair Bar David, Tal Geller, Ilai Bistritz, Irad Ben-Gal, Nicholas Bambos, Evgeni Khmelnitsky:
Wireless Body Area Network Control Policies for Energy-Efficient Health Monitoring. Sensors 21(12): 4245 (2021) - [j5]Ilai Bistritz, Nicholas Bambos:
Consensus-Based Stochastic Control for Model-Free Cell Balancing. IEEE Trans. Control. Netw. Syst. 8(3): 1139-1150 (2021) - [c17]Ilai Bistritz, Nicholas Bambos:
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games. ICML 2021: 968-979 - [i8]Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose H. Blanchet:
No Discounted-Regret Learning in Adversarial Bandits with Delays. CoRR abs/2103.04550 (2021) - 2020
- [c16]Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos:
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits. ICML 2020: 930-940 - [c15]Ilai Bistritz, Nicholas Bambos:
Cooperative Multi-player Bandit Optimization. NeurIPS 2020 - [c14]Ilai Bistritz, Ariana J. Mann, Nicholas Bambos:
Distributed Distillation for On-Device Learning. NeurIPS 2020 - [i7]Ilai Bistritz, Tavor Z. Baharav, Amir Leshem, Nicholas Bambos:
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits. CoRR abs/2002.09808 (2020)
2010 – 2019
- 2019
- [j4]Syed Mohammad Zafaruddin, Ilai Bistritz, Amir Leshem, Dusit Niyato:
Distributed Learning for Channel Allocation Over a Shared Spectrum. IEEE J. Sel. Areas Commun. 37(10): 2337-2349 (2019) - [j3]Ilai Bistritz, Amir Leshem:
Game Theoretic Dynamic Channel Allocation for Frequency-Selective Interference Channels. IEEE Trans. Inf. Theory 65(1): 330-353 (2019) - [j2]Ilai Bistritz, Amir Leshem:
Asymptotically Optimal Resource Block Allocation With Limited Feedback. IEEE Trans. Wirel. Commun. 18(1): 34-46 (2019) - [c13]Nasimeh Heydaribeni, Ilai Bistritz, Achilleas Anastasopoulos:
Informational cascades can be avoided with non-myopic agents. Allerton 2019: 655-662 - [c12]Ilai Bistritz, Nicholas Bambos, Dor Kahana, Irad Ben-Gal, Dan Yamin:
Controlling Contact Network Topology to Prevent Measles Outbreaks. GLOBECOM 2019: 1-6 - [c11]Ilai Bistritz, Nicholas Bambos:
The Power of Consensus: Optimal Distributed Multichannel Wireless Transmitter Power Control. ICC 2019: 1-6 - [c10]Ilai Bistritz, Andrew Ward, Zhengyuan Zhou, Nicholas Bambos:
Smart Greedy Distributed Allocation in Microgrids. ICC 2019: 1-6 - [c9]Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose H. Blanchet:
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback. NeurIPS 2019: 11345-11354 - [c8]Ilai Bistritz, Nicholas Bambos:
Asymptotically Optimal Distributed Gateway Load-Balancing for the Internet of Things. NOF 2019: 98-101 - [c7]Syed Mohammad Zafaruddin, Ilai Bistritz, Amir Leshem, Dusit Niyato:
Multiagent Autonomous Learning for Distributed Channel Allocation in Wireless Networks. SPAWC 2019: 1-5 - [i6]Syed Mohammad Zafaruddin, Ilai Bistritz, Amir Leshem, Dusit Niyato:
Distributed Learning for Channel Allocation Over a Shared Spectrum. CoRR abs/1902.06353 (2019) - 2018
- [j1]Ilai Bistritz, Amir Leshem:
Approximate Best-Response Dynamics in Random Interference Games. IEEE Trans. Autom. Control. 63(6): 1459-1472 (2018) - [c6]Ilai Bistritz, Achilleas Anastasopoulos:
Characterizing Non-Myopic Information Cascades in Bayesian Learning. CDC 2018: 2716-2721 - [c5]Ilai Bistritz, Amir Leshem:
Distributed Multi-Player Bandits - a Game of Thrones Approach. NeurIPS 2018: 7222-7232 - [c4]Ilai Bistritz, Amir Leshem:
Efficient and asymptotically optimal resource block allocation. WCNC 2018: 1-6 - [i5]Ilai Bistritz, Amir Leshem:
Distributed Multi-Player Bandits - a Game of Thrones Approach. CoRR abs/1810.11162 (2018) - 2017
- [c3]Ilai Bistritz, Amir Leshem:
Game theoretic resource allocation form-dependent channels with application to OFDMA. ICASSP 2017: 4316-4320 - [i4]Ilai Bistritz, Amir Leshem:
Game Theoretic Dynamic Channel Allocation for Frequency-Selective Interference Channels. CoRR abs/1705.02957 (2017) - [i3]Ilai Bistritz, Amir Leshem:
Approximate Best-Response Dynamics in Random Interference Games. CoRR abs/1706.05081 (2017) - [i2]Ilai Bistritz, Amir Leshem:
Asymptotically Optimal Resource Block Allocation With Limited Feedback. CoRR abs/1710.07617 (2017) - 2016
- [c2]Ilai Bistritz, Amir Leshem:
Convergence of approximate best-response dynamics in interference games. CDC 2016: 4433-4438 - [i1]Ilai Bistritz, Amir Leshem:
Asymptotically Optimal Distributed Channel Allocation: a Competitive Game-Theoretic Approach. CoRR abs/1603.03956 (2016) - 2015
- [c1]Ilai Bistritz, Amir Leshem:
Asymptotically optimal distributed channel allocation: A competitive game-theoretic approach. Allerton 2015: 1272-1279
Coauthor Index
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