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Emmanouil-Vasileios Vlatakis-Gkaragkounis
Emmanouil-Vasileios Vlatakis-Gkaragkounis
PhD Candidate in Computer Science, Columbia University
Dirección de correo verificada de cs.columbia.edu - Página principal
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No-regret learning and mixed nash equilibria: They do not mix
EV Vlatakis-Gkaragkounis, L Flokas, T Lianeas, P Mertikopoulos, ...
Advances in Neural Information Processing Systems 33, 1380-1391, 2020
88*2020
Poincaré recurrence, cycles and spurious equilibria in gradient-descent-ascent for non-convex non-concave zero-sum games
EV Vlatakis-Gkaragkounis, L Flokas, G Piliouras
Advances in Neural Information Processing Systems 32, 2019
662019
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information
A Giannou, EV Vlatakis-Gkaragkounis, P Mertikopoulos
Conference on Learning Theory, 2147-2148, 2021
372021
Efficiently avoiding saddle points with zero order methods: No gradients required
EV Vlatakis-Gkaragkounis, L Flokas, G Piliouras
Advances in neural information processing systems 32, 2019
36*2019
On the approximation power of two-layer networks of random relus
D Hsu, CH Sanford, R Servedio, EV Vlatakis-Gkaragkounis
Conference on Learning Theory, 2423-2461, 2021
312021
On the rate of convergence of regularized learning in games: From bandits and uncertainty to optimism and beyond
A Giannou, EV Vlatakis-Gkaragkounis, P Mertikopoulos
Advances in Neural Information Processing Systems 34, 22655-22666, 2021
272021
Optimal private median estimation under minimal distributional assumptions
C Tzamos, EV Vlatakis-Gkaragkounis, I Zadik
Advances in Neural Information Processing Systems 33, 3301-3311, 2020
252020
Smoothed complexity of local Max-Cut and binary Max-CSP
X Chen, C Guo, EV Vlatakis-Gkaragkounis, M Yannakakis, X Zhang
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020
242020
Contracting with a learning agent
G Guruganesh, Y Kolumbus, J Schneider, I Talgam-Cohen, ...
arXiv preprint arXiv:2401.16198, 2024
222024
Solving min-max optimization with hidden structure via gradient descent ascent
EV Vlatakis-Gkaragkounis, L Flokas, G Piliouras
Advances in Neural Information Processing Systems 34, 2373-2386, 2021
222021
On the convergence of policy gradient methods to Nash equilibria in general stochastic games
A Giannou, K Lotidis, P Mertikopoulos, EV Vlatakis-Gkaragkounis
Advances in Neural Information Processing Systems 35, 7128-7141, 2022
202022
Efficiently computing nash equilibria in adversarial team markov games
F Kalogiannis, I Anagnostides, I Panageas, EV Vlatakis-Gkaragkounis, ...
arXiv preprint arXiv:2208.02204, 2022
202022
First-order algorithms for min-max optimization in geodesic metric spaces
M Jordan, T Lin, EV Vlatakis-Gkaragkounis
Advances in Neural Information Processing Systems 35, 6557-6574, 2022
172022
Algorithms and complexity for computing nash equilibria in adversarial team games
I Anagnostides, F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis, ...
arXiv preprint arXiv:2301.02129, 2023
122023
The computational complexity of multi-player concave games and Kakutani fixed points
CH Papadimitriou, EV Vlatakis-Gkaragkounis, M Zampetakis
arXiv preprint arXiv:2207.07557, 2022
102022
Near-optimal statistical query lower bounds for agnostically learning intersections of halfspaces with gaussian marginals
DJ Hsu, CH Sanford, R Servedio, EV Vlatakis-Gkaragkounis
Conference on Learning Theory, 283-312, 2022
92022
Teamwork makes von neumann work: Min-max optimization in two-team zero-sum games
F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis
62021
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
I Sakos, EV Vlatakis-Gkaragkounis, P Mertikopoulos, G Piliouras
Advances in Neural Information Processing Systems 36, 2024
52024
Chaos persists in large-scale multi-agent learning despite adaptive learning rates
EV Vlatakis-Gkaragkounis, L Flokas, G Piliouras
arXiv preprint arXiv:2306.01032, 2023
52023
Towards convergence to Nash equilibria in two-team zero-sum games
F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis
arXiv preprint arXiv:2111.04178, 2021
52021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20