Panageas, Ioannis

38 publications

NeurIPS 2025 Efficient Kernelized Learning in Polyhedral Games Beyond Full Information: From Colonel Blotto to Congestion Games Andreas Kontogiannis, Vasilis Pollatos, Gabriele Farina, Panayotis Mertikopoulos, Ioannis Panageas

NeurIPS 2025 The Complexity of Finding Local Optima in Contrastive Learning Jingming Yan, Yiyuan Luo, Vaggos Chatziafratis, Ioannis Panageas, Parnian Shahkar, Stelios Andrew Stavroulakis

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

ICLR 2024 Beating Price of Anarchy and Gradient Descent Without Regret in Potential Games Iosif Sakos, Stefanos Leonardos, Stelios Andrew Stavroulakis, William Overman, Ioannis Panageas, Georgios Piliouras

AAAI 2024 Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints Nikolas Patris, Stelios Stavroulakis, Fivos Kalogiannis, Rose Zhang, Ioannis Panageas

UAI 2024 Last-Iterate Convergence Separation Between Extra-Gradient and Optimism in Constrained Periodic Games Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang

NeurIPS 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem Fivos Kalogiannis, Jingming Yan, Ioannis Panageas

ICLR 2024 Learning Nash Equilibria in Rank-1 Games Nikolas Patris, Ioannis Panageas

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

ICMLW 2024 Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games Leello Tadesse Dadi, Ioannis Panageas, Stratis Skoulakis, Luca Viano, Volkan Cevher

ICML 2024 The Computational Complexity of Finding Second-Order Stationary Points Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos, Panayotis Mertikopoulos, Aris Pagourtzis, Ioannis Panageas

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

ICMLW 2023 Embedding Surfaces by Optimizing Neural Networks with Prescribed Riemannian Metric and Beyond Yi Feng, Sizhe Li, Ioannis Panageas, Xiao Wang

NeurIPS 2023 Exponential Lower Bounds for Fictitious Play in Potential Games Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher

AAAI 2023 Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu

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 Last-Iterate Convergence in Time-Varying Zero-Sum Games: Extra Gradient Succeeds Where Optimism Fails Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang

ICML 2023 Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher

ICLR 2023 Towards Convergence to Nash Equilibria in Two-Team Zero-Sum Games Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis

NeurIPS 2023 Zero-Sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria Fivos Kalogiannis, Ioannis Panageas

AISTATS 2022 Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox, Stephen M. Mcaleer, Will Overman, Ioannis Panageas

IJCAI 2022 Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always Yi Feng, Ioannis Panageas, Xiao Wang

ICLR 2022 Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras

ICLRW 2022 Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos, Will Overman, Ioannis Panageas, Georgios Piliouras

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

NeurIPS 2022 On Scrambling Phenomena for Randomly Initialized Recurrent Networks Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis

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

AISTATS 2021 Efficient Statistics for Sparse Graphical Models from Truncated Samples Arnab Bhattacharyya, Rathin Desai, Sai Ganesh Nagarajan, Ioannis Panageas

AISTATS 2021 Last Iterate Convergence in No-Regret Learning: Constrained Min-Max Optimization for Convex-Concave Landscapes Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang

ICML 2020 Better Depth-Width Trade-Offs for Neural Networks Through the Lens of Dynamical Systems Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas

ICLR 2020 Depth-Width Trade-Offs for ReLU Networks via Sharkovsky's Theorem Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang

NeurIPS 2020 Fast Convergence of Langevin Dynamics on Manifold: Geodesics Meet Log-Sobolev Xiao Wang, Qi Lei, Ioannis Panageas

AISTATS 2020 Logistic Regression with Peer-Group Effects via Inference in Higher-Order Ising Models Constantinos Daskalakis, Nishanth Dikkala, Ioannis Panageas

ALT 2020 On the Analysis of EM for Truncated Mixtures of Two Gaussians Sai Ganesh Nagarajan, Ioannis Panageas

NeurIPS 2019 First-Order Methods Almost Always Avoid Saddle Points: The Case of Vanishing Step-Sizes Ioannis Panageas, Georgios Piliouras, Xiao Wang

ICML 2019 Multiplicative Weights Updates as a Distributed Constrained Optimization Algorithm: Convergence to Second-Order Stationary Points Almost Always Ioannis Panageas, Georgios Piliouras, Xiao Wang

NeurIPS 2018 The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization Constantinos Daskalakis, Ioannis Panageas

NeurIPS 2017 Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos Gerasimos Palaiopanos, Ioannis Panageas, Georgios Piliouras