Ioannis Panageas

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Georgios PiliourasGoogle DeepMind, Singapore University of Technology and DesignPatvirtintas el. paštas google.com
Constantinos DaskalakisProfessor of Computer Science, MITPatvirtintas el. paštas csail.mit.edu
Xiao WangShanghai University of Finance and EconomicsPatvirtintas el. paštas sufe.edu.cn
Ioannis AnagnostidesPhD student, Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Sai Ganesh NagarajanPostdoctoral Researcher, Zuse Institute BerlinPatvirtintas el. paštas zib.de
Fivos KalogiannisPhD student, UCSDPatvirtintas el. paštas ucsd.edu
Ruta MehtaDept. of Computer Science, University of Illinois at Urbana-ChampaignPatvirtintas el. paštas cs.illinois.edu
Vijay VaziraniDistinguished Professor, Dept. of Computer Science, University of California, Irvine.Patvirtintas el. paštas ics.uci.edu
William OvermanPhD Student, Stanford GSBPatvirtintas el. paštas stanford.edu
Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Stefanos LeonardosLecturer in machine learning, King's College LondonPatvirtintas el. paštas kcl.ac.uk
Gabriele FarinaAssistant Professor of Computer Science, MITPatvirtintas el. paštas mit.edu
Vaggos ChatziafratisUniversity of California, Santa CruzPatvirtintas el. paštas cs.stanford.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityPatvirtintas el. paštas princeton.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPatvirtintas el. paštas cs.berkeley.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyPatvirtintas el. paštas eecs.berkeley.edu
Emmanouil-Vasileios Vlatakis-Gkarag...Assistant Professor, University of Wisconsin-MadisonPatvirtintas el. paštas wisc.edu
Stephen McAleerOpenAIPatvirtintas el. paštas openai.com
Prasad TetaliHead, Department of Mathematical Sciences, Carnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Yi FengShanghai University of Finance and EconomicsPatvirtintas el. paštas live.sufe.edu.cn

Stebėti

Ioannis Panageas

Assistant Professor, University of California, Irvine

Patvirtintas el. paštas ics.uci.edu - Pagrindinis puslapis

Algorithms Optimization Learning in Games Multi-agent RL Statistics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
First-order methods almost always avoid strict saddle points JD Lee, I Panageas, G Piliouras, M Simchowitz, MI Jordan, B Recht Mathematical programming 176 (1-2), 311-337, 2019	384	2019
The limit points of (optimistic) gradient descent in min-max optimization C Daskalakis, I Panageas Advances in Neural Information Processing Systems 31, 9236-9246, 2018	313	2018
Gradient descent only converges to minimizers: Non-isolated critical points and invariant regions I Panageas, G Piliouras Proceedings of the Conference on Innovations in Theoretical Computer Science, 2017	202*	2017
Last-iterate convergence: Zero-sum games and constrained min-max optimization C Daskalakis, I Panageas Proceedings of the Conference on Innovations in Theoretical Computer Science, 2019	196	2019
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos G Palaiopanos, I Panageas, G Piliouras 31st Annual Conference on Neural Information Processing Systems, 2017	146	2017
Global convergence of multi-agent policy gradient in markov potential games S Leonardos, W Overman, I Panageas, G Piliouras arXiv preprint arXiv:2106.01969, 2021	143	2021
First-order methods almost always avoid saddle points: The case of vanishing step-sizes I Panageas, G Piliouras, X Wang Advances in Neural Information Processing Systems 32, 2019	67	2019
Natural selection as an inhibitor of genetic diversity: Multiplicative weights updates algorithm and a conjecture of haploid genetics [working paper abstract] R Mehta, I Panageas, G Piliouras Proceedings of the 2015 Conference on Innovations in Theoretical Computer …, 2015	62	2015
Independent natural policy gradient always converges in markov potential games R Fox, SM Mcaleer, W Overman, I Panageas International Conference on Artificial Intelligence and Statistics, 4414-4425, 2022	59	2022
Average case performance of replicator dynamics in potential games via computing regions of attraction I Panageas, G Piliouras Proceedings of the 2016 ACM Conference on Economics and Computation, 703-720, 2016	51*	2016
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes Q Lei, SG Nagarajan, I Panageas, X Wang International Conference on Artificial Intelligence and Statistics, 1441-1449, 2021	50	2021
On last-iterate convergence beyond zero-sum games I Anagnostides, I Panageas, G Farina, T Sandholm International Conference on Machine Learning, 536-581, 2022	44	2022
Regression from dependent observations C Daskalakis, N Dikkala, I Panageas Proceedings of the 51st Annual ACM symposium on Theory of Computing, 2019	43	2019
Depth-width trade-offs for relu networks via sharkovsky's theorem V Chatziafratis, SG Nagarajan, I Panageas, X Wang arXiv preprint arXiv:1912.04378, 2019	32	2019
Cycles in zero-sum differential games and biological diversity T Mai, M Mihail, I Panageas, W Ratcliff, V Vazirani, P Yunker Proceedings of the 2018 ACM Conference on Economics and Computation, 339-350, 2018	24*	2018
On the Analysis of EM for truncated mixtures of two Gaussians SG Nagarajan, I Panageas Algorithmic Learning Theory, 634-659, 2020	22	2020
Fast convergence of langevin dynamics on manifold: Geodesics meet log-sobolev X Wang, Q Lei, I Panageas Advances in Neural Information Processing Systems 33, 18894-18904, 2020	22	2020
On the convergence of no-regret learning dynamics in time-varying games I Anagnostides, I Panageas, G Farina, T Sandholm Advances in Neural Information Processing Systems 36, 16367-16405, 2023	21	2023
Efficiently computing nash equilibria in adversarial team markov games F Kalogiannis, I Anagnostides, I Panageas, EV Vlatakis-Gkaragkounis, ... arXiv preprint arXiv:2208.02204, 2022	21	2022
Mutation, sexual reproduction and survival in dynamic environments R Mehta, I Panageas, G Piliouras, P Tetali, VV Vazirani Proceedings of the 2017 Conference on Innovations in Theoretical Computer …, 2015	19*	2015

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