Higher order game dynamics

von Laraki, Rida
Veröffentlicht in Journal of economic theory (2013)

Imitation dynamics with payoff shocks

von Mertikopoulos, Panayotis
Veröffentlicht in International journal of game theory (2016)

Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements

von Antonakopoulos, Kimon
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 23 of 36 (2022)

On the robustness of learning in games with stochastically perturbed payoff observations

von Bravo, Mario
Veröffentlicht in Games and economic behavior (2017)

Learning in games via reinforcement and regularization

von Mertikopoulos, Panayotis
Veröffentlicht in Mathematics of operations research (2016)

Riemannian game dynamics

von Mertikopoulos, Panayotis
Veröffentlicht in Journal of economic theory (2018)

REGRET MINIMIZATION IN STOCHASTIC NON-CONVEX LEARNING VIA A PROXIMAL-GRADIENT APPROACH

von HALLAK, NADAV
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)

Penalty-regulated dynamics and robust learning procedures in games

von Coucheney, Pierre
Veröffentlicht in Mathematics of operations research (2015)

AN ADAPTIVE MIRROR-PROX METHOD FOR VARIATIONAL INEQUALITIES WITH SINGULAR OPERATORS

von Antonakopoulos, Kimon
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

GRADIENT-FREE ONLINE LEARNING IN GAMES WITH DELAYED REWARDS

von Héliou, Amélie
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 6 of 15 (2021)

THE LIMITS OF MIN-MAX OPTIMIZATION ALGORITHMS: CONVERGENCE TO SPURIOUS NON-CRITICAL SETS

von HSIEH, YA-PING
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)

Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights

von Vu, Dong Quan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

Derivative-Free Optimization over Multi-user MIMO Networks

von Bilenne, Olivier
Veröffentlicht in NetGCoop 2020 (10. : 2021 : Online) Network Games, Control and Optimization (2021)

Nested Bandits

von Martin, Matthieu
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 19 of 33 (2023)

ZEROTH-ORDER NON-CONVEX LEARNING VIA HIERARCHICAL DUAL AVERAGING

von HÉLIOU, AMÉLIE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 6 of 16 (2022)

On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond

von Giannou, Angeliki
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 27 of 36 (2022)

ON THE ALMOST SURE CONVERGENCE OF STOCHASTIC GRADIENT DESCENT IN NON-CONVEX PROBLEMS

von Mertikopoulos, Panayotis
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

A NEW REGRET ANALYSIS FOR ADAM-TYPE ALGORITHMS

von Alacaoglu, Ahmet
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 1 of 15 (2021)

ONLINE NON-CONVEX OPTIMIZATION WITH IMPERFECT FEEDBACK

von Héliou, Amélie
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 21 of 27 (2021)

ON THE CONVERGENCE OF SINGLE-CALL STOCHASTIC EXTRA-GRADIENT METHODS

von Hsieh, Yu-Guan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 9 of 20 (2020)