Journal Papers 

1. Y.Lin, K.Liu, I.Bistritz, Q.Ma, Y.Xia, “Quantization Enabled Differential Privacy in Bandit Games with Cooperative Players”, IEEE Transactions on Automatic Control, 2025. 

2. S.Jaladi, I.Bistritz, “We Are Legion: High Probability Regret Bound in Adversarial Multiagent Online Learning”,  IEEE Control Systems Letters, 2024.

3. I. Bistritz, N. Bambos, “Power is Knowledge: Distributed and Throughput Optimal Power Control in Wireless Networks”, IEEE/ACM Transactions on Networking, 2024.

4. I. Bistritz, N. Bambos, “Gamekeeper: Online Learning for Admission Control of Networked Open Multiagent Systems”, IEEE Transactions on Automatic Control, 2024. 

5. I. Bistritz, Z. Zhou, X. Chen, N. Bambos, J. Blanchet, “No Weighted-Regret Learning in Adversarial Bandits with Delays”, Journal of Machine Learning Research (JMLR), 2022. 

6. B. Eden,  I. Bistritz, N. Bambos, I. Ben-Gal, E. Khmelnitsky, “Personalized and Energy-Efficient Health Monitoring: A Reinforcement Learning Approach“, IEEE Control Systems Letters, 2022. 

7. I. Bistritz, N. Heydaribeni, A. Anastasopoulos, “Informational Cascades with Non-myopic Agents”, IEEE Transactions on Automatic Control, 2022.

8. I. Bistritz, A. Ward, Z. Zhou, N. Bambos, “Smart Greedy Distributed Energy Allocation: a Random Games Approach”, IEEE Transactions on Automatic Control, 2022.

9. Y. B.David,  T. Geller, I. Bistritz, I. Ben-Gal, N. Bambos, E. Khmelnitsky, "Wireless Body Area Network Control Policies for Energy-Efficient Health Monitoring", Sensors, 2021.

10. I. Bistritz, T.Z. Baharav, A. Leshem, N. Bambos, “One for All and All for One: Distributed Learning of Fair Allocations with Multi-player Bandits”,  IEEE Journal on Selected Areas in Information Theory, 2021.

11. I. Bistritz, N. Bambos, “Consensus-Based Stochastic Control for Model-Free Cell Balancing”,  IEEE Transactions on Control of Network Systems, 2021. 

12. I. Bistritz, A. Leshem, “Game of Thrones: Fully Distributed Learning for Multiplayer Bandits”,  Mathematics of Operations Research, 2020. 

13. S.M. Zafaruddin, I. Bistritz, A. Leshem, D. Niyato, “Distributed Learning for Channel Allocation Over a Shared Spectrum”, IEEE Journal on Selected Areas in Communications, 2019. 

14. I. Bistritz, A. Leshem, “Asymptotically Optimal Resource Block Allocation with Limited Feedback”,  IEEE Transactions on Wireless Communications, 2018. 

15. I. Bistritz, A. Leshem, “Game-Theoretic Dynamic Channel Allocation for Frequency-Selective Interference Channels”,  IEEE Transactions on Information Theory, 2018.

16. I. Bistritz, A. Leshem, “Approximate Best-Response Dynamics in Random Interference Games”, IEEE Transactions on Automatic Control, 2017. 

Conference Papers - Machine Learning

1. M.Najjar, T.Baharav, I.Bistritz, "Low Complexity Online Contextual Learning with Continuous Actions", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2026

2. E. Bar-el Avidan, I. Bistritz, "Juggler: Multitask Learning with Task Performance Constraints",  IEEE Conference on Decision and Control (CDC), 2025

3. S. Chandak, I. Bistritz, N. Bambos, “Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics”, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023. 

4. I. Bistritz, N. Bambos, “Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits”, Conference on Neural Information Processing Systems (NeurIPS), 2022. 

5. I. Bistritz, N. Bambos, “Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games”, International Conference on Machine Learning (ICML), 2021. 

6. I. Bistritz, N. Bambos, “Cooperative Multi-Player Bandit Optimization”, Conference on Neural Information Processing Systems (NeurIPS), 2020. 

7. I. Bistritz, A. Mann ,N. Bambos, “Distributed Distillation for On-Device Learning", Conference on Neural Information Processing Systems (NeurIPS), 2020. 

8. I. Bistritz, T.Z. Baharav, A. Leshem, N. Bambos, “My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits”, International Conference on Machine Learning (ICML), 2020.

9. I. Bistritz, Z. Zhou, X. Chen, N. Bambos, J. Blanchet, “Online EXP3 Learning in Adversarial Bandits with Delayed Feedback”, Conference on Neural Information Processing Systems (NeurIPS), 2019.

10. I. Bistritz, A. Leshem, “Distributed Multi-Player Bandits - a Game of Thrones Approach”, Conference on Neural Information Processing Systems (NeurIPS), 2018.

Conference Papers - Distributed Control and Game Theory

1. 1. Y. Pichoto, I. Bistritz, "D-CAR: Distributed Cooperative Autonomous Routing", IEEE Conference on Decision and Control (CDC), 2025

   2. A. Kantorovich, I. Bistritz, "Up Your Game: Training Games with Efficient Nash Equilibrium with Deep Learning", IEEE Conference on Decision and Control (CDC), 2025

   3. I. Bistritz, N. Bambos, “Admission Control for Games with a Dynamic Set of Players”, IEEE Conference on Decision and Control (CDC) 2023. 

   4. S. Chandak, I. Bistritz, N. Bambos, “Tug of Peace: Distributed Learning for Quality of Service Guarantees”, IEEE Conference on Decision and Control (CDC) 2023.   

Conference Papers - Smart Grid and Energy

1. I. Bistritz, A. Ward, Z. Zhou, N. Bambos, “Smart Greedy Distributed Allocation in Microgrids”, IEEE International Conference on Communications (ICC), 2019.

2. I. Bistritz, M. Klein, N. Bambos, O. Maimon, R. Rajagopal, “Distributed Scheduling of Charging for On-Demand Electric Vehicle Fleets”, Workshop on Discrete Event Systems (WODES), 2020, best student paper finalist. 

Conference Papers - Social Networks and Epidemics

1. A. Mann, I. Bistritz, N. Bambos, “Active Testing for an Emerging Epidemic”, IEEE International Conference on E-health Networking, Application & Services (Healthcom), 2022. 

2. N. Heydaribeni, I. Bistritz, A. Anastasopoulos, “Informational Cascades can be Avoided with Non-Myopic Agents”, Allerton Conference on Communication, Control, and Computing, 2019.

3. I. Bistritz, D. Kahana, N. Bambos, I. Ben-Gal, D. Yamin, “Controlling Contact Network Topology to Prevent Measles Outbreaks”, IEEE Globecom, 2019.

4. I. Bistritz, A. Anastasopoulos, “Characterizing Non-Myopic Information Cascades in Bayesian Learning”, IEEE Conference on Decision and Control (CDC), 2018.

Conference Papers - Communication Networks 

1. I. Bistritz, N. Bambos, “Asymptotically Optimal Distributed Gateway Load-Balancing for the Internet of Things”, International Conference on the Networks of the Future (NoF), 2019.

2. S.M. Zafaruddin, I. Bistritz, A. Leshem, D. Niyato, “Multiagent Autonomous Learning for Distributed Channel Allocation in Wireless Networks”, IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019.

3. I. Bistritz, N. Bambos, “The Power of Consensus: Optimal Distributed Multichannel Wireless Transmitter Power Control”, IEEE International Conference on Communications (ICC), 2019.

4. I. Bistritz, A. Leshem, “Efficient and Asymptotically Optimal Resource Block Allocation”, IEEE Wireless Communications and Networking Conference (WCNC), 2018, best student paper award. 

5. I. Bistritz,  A. Leshem, “Game Theoretic Resource Allocation for m-Dependent Channels with Application to OFDMA”,  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

6. I. Bistritz, A. Leshem, “Convergence of Approximate Best-Response Dynamics in Interference Games”, IEEE Conference on Decision and Control (CDC), 2016.

7. I. Bistritz, A. Leshem, “Asymptotically Optimal Distributed Channel Allocation: a Competitive Game-Theoretic Approach”, Allerton Conference on Communication, Control, and Computing, 2015.