Bambos, Nicholas

16 publications

NeurIPS 2025 Multi-Agent Learning Under Uncertainty: Recurrence vs. Concentration Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet

NeurIPS 2025 Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet

NeurIPS 2024 Accelerated Regularized Learning in Finite N-Person Games Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos, Nicholas Bambos

NeurIPS 2023 Payoff-Based Learning with Matrix Multiplicative Weights in Quantum Games Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet

AISTATS 2023 Wasserstein Distributionally Robust Linear-Quadratic Estimation Under Martingale Constraints Kyriakos Lotidis, Nicholas Bambos, Jose Blanchet, Jiajin Li

JMLR 2022 No Weighted-Regret Learning in Adversarial Bandits with Delays Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet

NeurIPS 2022 Queue up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits Ilai Bistritz, Nicholas Bambos

ICML 2021 Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games Ilai Bistritz, Nicholas Bambos

NeurIPS 2020 Cooperative Multi-Player Bandit Optimization Ilai Bistritz, Nicholas Bambos

NeurIPS 2020 Distributed Distillation for On-Device Learning Ilai Bistritz, Ariana Mann, Nicholas Bambos

ICML 2020 My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-Player Bandits Ilai Bistritz, Tavor Baharav, Amir Leshem, Nicholas Bambos

NeurIPS 2019 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback Ilai Bistritz, Zhengyuan Zhou, Xi Chen, Nicholas Bambos, Jose Blanchet

ICML 2018 Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei

NeurIPS 2018 Learning in Games with Lossy Feedback Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye

NeurIPS 2017 Countering Feedback Delays in Multi-Agent Learning Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Claire Tomlin

NeurIPS 2017 Stochastic Mirror Descent in Variationally Coherent Optimization Problems Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen Boyd, Peter W. Glynn