Anagnostides, Ioannis

19 publications

ICML 2025 Expected Variational Inequalities Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina, Vincent Conitzer, Tuomas Sandholm

NeurIPS 2025 The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games Ioannis Anagnostides, Ioannis Panageas, Tuomas Sandholm, Jingming Yan

AAAI 2025 The Value of Recall in Extensive-Form Games Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides, Tuomas Sandholm, Vincent Conitzer

NeurIPS 2024 Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games Without the Condition Number: A Smoothed Analysis Ioannis Anagnostides, Tuomas Sandholm

NeurIPS 2024 Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games Brian Hu Zhang, Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm

AAAI 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

NeurIPS 2023 Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games Brian Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm

ICLR 2023 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Andrew Stavroulakis

ICLR 2023 Meta-Learning in Games Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm

ICML 2023 Near-Optimal $φ$-Regret Learning in Extensive-Form Games Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm

NeurIPS 2023 On the Convergence of No-Regret Learning Dynamics in Time-Varying Games Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

NeurIPS 2023 On the Interplay Between Social Welfare and Tractability of Equilibria Ioannis Anagnostides, Tuomas Sandholm

AAAI 2022 Dimensionality and Coordination in Voting: The Distortion of STV Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos

JAIR 2022 Metric-Distortion Bounds Under Limited Information Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos

NeurIPS 2022 Near-Optimal No-Regret Learning Dynamics for General Convex Games Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm

ICML 2022 On Last-Iterate Convergence Beyond Zero-Sum Games Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

NeurIPS 2022 Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm

NeurIPS 2022 Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Tuomas Sandholm

AISTATS 2021 Robust Learning Under Strong Noise via SQs Ioannis Anagnostides, Themis Gouleakis, Ali Marashian