Asymptotically optimal distributed channel allocation: A competitive game-theoretic approach. - Ilai Bistritz; Amir Leshem (Allerton, 2015)

Convergence of approximate best-response dynamics in interference games. - Ilai Bistritz; Amir Leshem (CDC, 2016)

Game theoretic resource allocation form-dependent channels with application to OFDMA. - Ilai Bistritz; Amir Leshem (ICASSP, 2017)

Characterizing Non-Myopic Information Cascades in Bayesian Learning. - Ilai Bistritz; Achilleas Anastasopoulos (CDC, 2018)

Distributed Multi-Player Bandits - a Game of Thrones Approach. - Ilai Bistritz; Amir Leshem (NeurIPS, 2018)

Efficient and asymptotically optimal resource block allocation. - Ilai Bistritz; Amir Leshem (WCNC, 2018)

Approximate Best-Response Dynamics in Random Interference Games. - Ilai Bistritz; Amir Leshem (IEEE Trans. Autom. Control., 2018)

Informational cascades can be avoided with non-myopic agents. - Nasimeh Heydaribeni; Ilai Bistritz; Achilleas Anastasopoulos (Allerton, 2019)

Controlling Contact Network Topology to Prevent Measles Outbreaks. - Ilai Bistritz; Nicholas Bambos; Dor Kahana; Irad Ben-Gal; Dan Yamin (GLOBECOM, 2019)

The Power of Consensus: Optimal Distributed Multichannel Wireless Transmitter Power Control. - Ilai Bistritz; Nicholas Bambos (ICC, 2019)

Smart Greedy Distributed Allocation in Microgrids. - Ilai Bistritz; Andrew Ward; Zhengyuan Zhou; Nicholas Bambos (ICC, 2019)

Online EXP3 Learning in Adversarial Bandits with Delayed Feedback. - Ilai Bistritz; Zhengyuan Zhou; Xi Chen; Nicholas Bambos; Jose H. Blanchet (NeurIPS, 2019)

Asymptotically Optimal Distributed Gateway Load-Balancing for the Internet of Things. - Ilai Bistritz; Nicholas Bambos (NOF, 2019)

Multiagent Autonomous Learning for Distributed Channel Allocation in Wireless Networks. - Syed Mohammad Zafaruddin; Ilai Bistritz; Amir Leshem; Dusit Niyato (SPAWC, 2019)

Distributed Learning for Channel Allocation Over a Shared Spectrum. - Syed Mohammad Zafaruddin; Ilai Bistritz; Amir Leshem; Dusit Niyato (IEEE J. Sel. Areas Commun., 2019)

Game Theoretic Dynamic Channel Allocation for Frequency-Selective Interference Channels. - Ilai Bistritz; Amir Leshem (IEEE Trans. Inf. Theory, 2019)

Asymptotically Optimal Resource Block Allocation With Limited Feedback. - Ilai Bistritz; Amir Leshem (IEEE Trans. Wirel. Commun., 2019)

My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits. - Ilai Bistritz; Tavor Z. Baharav; Amir Leshem; Nicholas Bambos (ICML, 2020)

Cooperative Multi-player Bandit Optimization. - Ilai Bistritz; Nicholas Bambos (NeurIPS, 2020)

Distributed Distillation for On-Device Learning. - Ilai Bistritz; Ariana J. Mann; Nicholas Bambos (NeurIPS, 2020)

Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games. - Ilai Bistritz; Nicholas Bambos (ICML, 2021)

No Discounted-Regret Learning in Adversarial Bandits with Delays. - Ilai Bistritz; Zhengyuan Zhou; Xi Chen; Nicholas Bambos; Jose H. Blanchet (CoRR, 2021)

One for All and All for One: Distributed Learning of Fair Allocations With Multi-Player Bandits. - Ilai Bistritz; Tavor Z. Baharav; Amir Leshem; Nicholas Bambos (IEEE J. Sel. Areas Inf. Theory, 2021)

Game of Thrones: Fully Distributed Learning for Multiplayer Bandits. - Ilai Bistritz; Amir Leshem (Math. Oper. Res., 2021)

Wireless Body Area Network Control Policies for Energy-Efficient Health Monitoring. - Yair Bar David; Tal Geller; Ilai Bistritz; Irad Ben-Gal; Nicholas Bambos; Evgeni Khmelnitsky (Sensors, 2021)

Consensus-Based Stochastic Control for Model-Free Cell Balancing. - Ilai Bistritz; Nicholas Bambos (IEEE Trans. Control. Netw. Syst., 2021)

Active Testing for an Emerging Epidemic. - Ariana J. Mann; Ilai Bistritz; Nicholas Bambos (HealthCom, 2022)

Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits. - Ilai Bistritz; Nicholas Bambos (NeurIPS, 2022)

No Weighted-Regret Learning in Adversarial Bandits with Delays. - Ilai Bistritz; Zhengyuan Zhou; Xi Chen; Nicholas Bambos; José H. Blanchet (J. Mach. Learn. Res., 2022)

Informational Cascades With Nonmyopic Agents. - Ilai Bistritz; Nasimeh Heydaribeni; Achilleas Anastasopoulos (IEEE Trans. Autom. Control., 2022)

Smart Greedy Distributed Energy Allocation: A Random Games Approach. - Ilai Bistritz; Andrew Ward; Zhengyuan Zhou; Nicholas Bambos (IEEE Trans. Autom. Control., 2022)

Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics. - Siddharth Chandak; Ilai Bistritz; Nicholas Bambos (AAMAS, 2023)

Admission Control for Games with a Dynamic Set of Players. - Ilai Bistritz; Nicholas Bambos (CDC, 2023)

Tug of Peace: Distributed Learning for Quality of Service Guarantees. - Siddharth Chandak; Ilai Bistritz; Nicholas Bambos (CDC, 2023)

Personalized and Energy-Efficient Health Monitoring: A Reinforcement Learning Approach. - Batchen Eden; Ilai Bistritz; Nicholas Bambos; Irad Ben-Gal; Evgeni Khmelnitsky (IEEE Control. Syst. Lett., 2023)

Learning to Control Unknown Strongly Monotone Games. - Siddharth Chandak; Ilai Bistritz; Nicholas Bambos (CoRR, 2024)

We Are Legion: High Probability Regret Bound in Adversarial Multiagent Online Learning. - Sri Jaladi; Ilai Bistritz (IEEE Control. Syst. Lett., 2024)

Gamekeeper: Online Learning for Admission Control of Networked Open Multiagent Systems. - Ilai Bistritz; Nicholas Bambos (IEEE Trans. Autom. Control., 2024)

Power Is Knowledge: Distributed and Throughput Optimal Power Control in Wireless Networks. - Ilai Bistritz; Nicholas Bambos (IEEE/ACM Trans. Netw., 2024)

Federated Learning with Social Data Sharing. - Mahran Jazi; Ilai Bistritz; Nicholas Bambos; Irad Ben-Gal (ICAIIC, 2025)