ML Anthology

Vlatakis-Gkaragkounis, Emmanouil Vasileios

19 publications

NeurIPS 2025 Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics Deep Patel, Emmanouil-Vasileios Vlatakis-Gkaragkounis
ICML 2025 Solving Zero-Sum Convex Markov Games Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras
NeurIPS 2024 Contracting with a Learning Agent Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg
NeurIPSW 2024 Statistical Inference in Latent Convex Objectives with Stream Data Rohan Chauhan, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Michael I. Jordan
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
NeurIPS 2023 Exploiting Hidden Structures in Non-Convex Games for Convergence to Nash Equilibrium Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras
ICLR 2023 Towards Convergence to Nash Equilibria in Two-Team Zero-Sum Games Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis
NeurIPS 2022 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces Michael I. Jordan, Tianyi Lin, Emmanouil-Vasileios Vlatakis-Gkaragkounis
COLT 2022 Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals Daniel J Hsu, Clayton H Sanford, Rocco Servedio, Emmanouil Vasileios Vlatakis-Gkaragkounis
NeurIPS 2022 On the Convergence of Policy Gradient Methods to Nash Equilibria in General Stochastic Games Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil-Vasileios Vlatakis-Gkaragkounis
COLT 2021 On the Approximation Power of Two-Layer Networks of Random ReLUs Daniel Hsu, Clayton H Sanford, Rocco Servedio, Emmanouil Vasileios Vlatakis-Gkaragkounis
NeurIPS 2021 On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
COLT 2021 Reconstructing Weighted Voting Schemes from Partial Information About Their Power Indices Huck Bennett, Anindya De, Rocco Servedio, Emmanouil Vasileios Vlatakis-Gkaragkounis
NeurIPS 2021 Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
COLT 2021 Survival of the Strictest: Stable and Unstable Equilibria Under Regularized Learning with Partial Information Angeliki Giannou, Emmanouil Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos
NeurIPS 2020 No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras
NeurIPS 2020 Optimal Private Median Estimation Under Minimal Distributional Assumptions Christos Tzamos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ilias Zadik
NeurIPS 2019 Efficiently Avoiding Saddle Points with Zero Order Methods: No Gradients Required Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras
NeurIPS 2019 Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games Emmanouil-Vasileios Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras