‪Emmanouil-Vasileios Vlatakis-Gkaragkounis‬

Cited by

	All	Since 2019
Citations	476	475
h-index	13	13
i10-index	14	14

180

135

2019202020212022202320243 26 49 94 129 174

Public access

View all

14 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Georgios PiliourasGoogle DeepMind, Singapore University of Technology and DesignVerified email at google.com
Panayotis MertikopoulosCNRSVerified email at imag.fr
Lampros FlokasPhD Student, Columbia UniversityVerified email at cs.columbia.edu
Angeliki GiannouUniversity of Wisconsin–MadisonVerified email at wisc.edu
Fivos KalogiannisPhD student, UCSDVerified email at ucsd.edu
Ioannis PanageasAssistant Professor, University of California, IrvineVerified email at ics.uci.edu
Thanasis LianeasVerified email at corelab.ntua.gr
Rocco Anthony ServedioDepartment of Computer Science, Columbia UniversityVerified email at columbia.edu
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
Clayton SanfordGoogle ResearchVerified email at google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Ioannis AnagnostidesPhD student, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Chenghao GuoMassachusetts Institute of TechnologyVerified email at mit.edu
Mihalis YannakakisPercy K. and Vida L. W. Hudson Professor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Xi ChenColumbia UniversityVerified email at cs.columbia.edu
Xinzhi ZhangUniversity of WashingtonVerified email at uw.edu
Alexandros PotamianosNational Technical University of AthensVerified email at central.ntua.gr
Georgios ParaskevopoulosAssociate Researcher, Institute for Speech and Language Processing, Athena RCVerified email at central.ntua.gr
Efthymios TzinisSr. Research Scientist at Google | Ex. UIUC, MERL, MetaVerified email at google.com
Anindya DeUniversity of PennsylvaniaVerified email at seas.upenn.edu

Emmanouil-Vasileios Vlatakis-Gkaragkounis

PhD Candidate in Computer Science, Columbia University

Verified email at cs.columbia.edu - Homepage

Theoretical Computer Science Game Theory Optimization Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	86*	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	64	2019
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	37	2021
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	29	2021
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	27	2021
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	24	2020
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	23	2020
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	20	2021
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	19	2022
Efficiently computing nash equilibria in adversarial team markov games F Kalogiannis, I Anagnostides, I Panageas, EV Vlatakis-Gkaragkounis, ... arXiv preprint arXiv:2208.02204, 2022	19	2022
Contracting with a learning agent G Guruganesh, Y Kolumbus, J Schneider, I Talgam-Cohen, ... arXiv preprint arXiv:2401.16198, 2024	18	2024
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	16	2022
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	10	2023
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	9	2022
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	9	2022
Towards convergence to Nash equilibria in two-team zero-sum games F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis arXiv preprint arXiv:2111.04178, 2021	5	2021
Teamwork makes von neumann work: Min-max optimization in two-team zero-sum games F Kalogiannis, I Panageas, EV Vlatakis-Gkaragkounis	5	2021
Stochastic methods in variational inequalities: Ergodicity, bias and refinements EV Vlatakis-Gkaragkounis, A Giannou, Y Chen, Q Xie International Conference on Artificial Intelligence and Statistics, 4123-4131, 2024	4	2024
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	4	2023

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors