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ORCIDEmmanouil V. Vlatakis-Gkaragkounis
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- affiliation: University of California, Berkeley, Simons Institute for the Theory of Computing,, CA, USA
- affiliation (PhD 2022): Columbia University, Computer Science Department, New York City, NY, USA
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2020 – today
- 2024
[c20]Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie:
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. AISTATS 2024: 4123-4131- [c19]Xi Chen, Chenghao Guo, Emmanouil V. Vlatakis-Gkaragkounis, Mihalis Yannakakis:
Smoothed Complexity of SWAP in Local Graph Partitioning. SODA 2024: 5057-5083 - [i24]Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg:
Contracting with a Learning Agent. CoRR abs/2401.16198 (2024) - 2023
- [c18]Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis
, Vaggos Chatziafratis, Stelios Andrew Stavroulakis:
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. ICLR 2023 - [c17]Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis:
Towards convergence to Nash equilibria in two-team zero-sum games. ICLR 2023 - [c16]Iosif Sakos, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras:
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. NeurIPS 2023 - [c15]Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer:
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. EC 2023: 89 - [c14]Christos H. Papadimitriou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Manolis Zampetakis:
The Computational Complexity of Multi-player Concave Games and Kakutani Fixed Points. EC 2023: 1045 - [i23]Ioannis Anagnostides, Fivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Stephen McAleer:
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games. CoRR abs/2301.02129 (2023) - [i22]Xi Chen, Chenghao Guo, Emmanouil V. Vlatakis-Gkaragkounis, Mihalis Yannakakis:
Smoothed Complexity of SWAP in Local Graph Partitioning. CoRR abs/2305.15804 (2023) - [i21]Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras:
Chaos persists in large-scale multi-agent learning despite adaptive learning rates. CoRR abs/2306.01032 (2023) - [i20]Emmanouil V. Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen, Qiaomin Xie:
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. CoRR abs/2306.16502 (2023) - [i19]Yang Cai, Michael I. Jordan, Tianyi Lin, Argyris Oikonomou, Emmanouil V. Vlatakis-Gkaragkounis:
Curvature-Independent Last-Iterate Convergence for Games on Riemannian Manifolds. CoRR abs/2306.16617 (2023) - [i18]Francisca Vasconcelos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras, Michael I. Jordan:
A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games. CoRR abs/2311.10859 (2023) - [i17]Iosif Sakos, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras:
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium. CoRR abs/2312.16609 (2023) - 2022
- [b1]Emmanouil-Vasileios Vlatakis-Gkaragkounis:
Beyond Worst-Case Analysis of Optimization in the Era of Machine Learning. Columbia University, USA, 2022 - [c13]Daniel J. Hsu, Clayton Hendrick Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis:
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals. COLT 2022: 283-312 - [c12]Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis:
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. NeurIPS 2022 - [c11]Michael I. Jordan, Tianyi Lin, Emmanouil V. Vlatakis-Gkaragkounis:
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces. NeurIPS 2022 - [i16]Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil V. Vlatakis-Gkaragkounis:
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals. CoRR abs/2202.05096 (2022) - [i15]Michael I. Jordan, Tianyi Lin, Emmanouil V. Vlatakis-Gkaragkounis:
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces. CoRR abs/2206.02041 (2022) - [i14]Christos H. Papadimitriou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Manolis Zampetakis:
The Computational Complexity of Multi-player Concave Games and Kakutani Fixed Points. CoRR abs/2207.07557 (2022) - [i13]Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Stavroulakis:
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. CoRR abs/2208.02204 (2022) - [i12]Angeliki Giannou, Kyriakos Lotidis, Panayotis Mertikopoulos, Emmanouil V. Vlatakis-Gkaragkounis:
On the convergence of policy gradient methods to Nash equilibria in general stochastic games. CoRR abs/2210.08857 (2022) - 2021
- [c10]Huck Bennett, Anindya De, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis:
Reconstructing weighted voting schemes from partial information about their power indices. COLT 2021: 500-565 - [c9]Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information. COLT 2021: 2147-2148 - [c8]Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil V. Vlatakis-Gkaragkounis:
On the Approximation Power of Two-Layer Networks of Random ReLUs. COLT 2021: 2423-2461 - [c7]Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras:
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent. NeurIPS 2021: 2373-2386 - [c6]Angeliki Giannou, Emmanouil V. Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
The convergence rate of regularized learning in games: From bandits and uncertainty to optimism and beyond. NeurIPS 2021: 22655-22666 - [i11]Angeliki Giannou, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos:
From Learning with Partial Information to Bandits: Only Strict Nash Equilibria are Stable. CoRR abs/2101.04667 (2021) - [i10]Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Georgios Piliouras:
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent. CoRR abs/2101.05248 (2021) - [i9]Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil V. Vlatakis-Gkaragkounis:
On the Approximation Power of Two-Layer Networks of Random ReLUs. CoRR abs/2102.02336 (2021) - [i8]Fivos Kalogiannis, Ioannis Panageas, Emmanouil V. Vlatakis-Gkaragkounis:
Teamwork makes von Neumann work: Min-Max Optimization in Two-Team Zero-Sum Games. CoRR abs/2111.04178 (2021) - 2020
- [c5]Christos Tzamos, Emmanouil V. Vlatakis-Gkaragkounis, Ilias Zadik:
Optimal Private Median Estimation under Minimal Distributional Assumptions. NeurIPS 2020 - [c4]Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras:
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix. NeurIPS 2020 - [c3]Xi Chen, Chenghao Guo, Emmanouil V. Vlatakis-Gkaragkounis, Mihalis Yannakakis, Xinzhi Zhang:
Smoothed complexity of local max-cut and binary max-CSP. STOC 2020: 1052-1065 - [i7]Huck Bennett, Anindya De, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis:
Reconstructing weighted voting schemes from partial information about their power indices. CoRR abs/2007.09599 (2020) - [i6]Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras:
No-regret learning and mixed Nash equilibria: They do not mix. CoRR abs/2010.09514 (2020) - [i5]Christos Tzamos, Emmanouil V. Vlatakis-Gkaragkounis, Ilias Zadik:
Optimal Private Median Estimation under Minimal Distributional Assumptions. CoRR abs/2011.06202 (2020)
2010 – 2019
- 2019
- [c2]Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras:
Efficiently avoiding saddle points with zero order methods: No gradients required. NeurIPS 2019: 10066-10077 - [c1]Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras:
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games. NeurIPS 2019: 10450-10461 - [i4]Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Georgios Piliouras:
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games. CoRR abs/1910.13010 (2019) - [i3]Lampros Flokas, Emmanouil V. Vlatakis-Gkaragkounis, Georgios Piliouras:
Efficiently avoiding saddle points with zero order methods: No gradients required. CoRR abs/1910.13021 (2019) - [i2]Xi Chen, Chenghao Guo, Emmanouil V. Vlatakis-Gkaragkounis, Mihalis Yannakakis, Xinzhi Zhang:
Smoothed complexity of local Max-Cut and binary Max-CSP. CoRR abs/1911.10381 (2019) - 2018
- [i1]Georgios Paraskevopoulos, Efthymios Tzinis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Alexandros Potamianos:
Pattern Search Multidimensional Scaling. CoRR abs/1806.00416 (2018)
Coauthor Index
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