Constantinos Daskalakis

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Christos H PAPADIMITRIOUColumbia UniversityPatvirtintas el. paštas columbia.edu
Yang CaiAssociate Professor of Computer Science and Economics, Yale UniversityPatvirtintas el. paštas yale.edu
Christos TzamosUniversity of Athens and University of Wisconsin-MadisonPatvirtintas el. paštas di.uoa.gr
S. Matthew WeinbergAssociate Professor, Princeton UniversityPatvirtintas el. paštas princeton.edu
Sebastien RochProfessor of Mathematics, UW MadisonPatvirtintas el. paštas math.wisc.edu
Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector InstitutePatvirtintas el. paštas uwaterloo.ca
Alexandros G DimakisProfessor, ECE University of Texas at AustinPatvirtintas el. paštas austin.utexas.edu
Andrew IlyasMassachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Vasilis SyrgkanisAssistant Professor, Stanford UniversityPatvirtintas el. paštas stanford.edu
Elchanan MosselProfessor of Mathematics, MITPatvirtintas el. paštas mit.edu
Ilias DiakonikolasUniversity of Wisconsin-MadisonPatvirtintas el. paštas wisc.edu
Ioannis PanageasAssistant Professor, University of California, IrvinePatvirtintas el. paštas ics.uci.edu
Paul GoldbergProfessor of Computer Science, Oxford UniversityPatvirtintas el. paštas cs.ox.ac.uk
Aranyak MehtaGoogle ResearchPatvirtintas el. paštas google.com
Jayadev AcharyaAssistant Professor, Cornell UniversityPatvirtintas el. paštas cornell.edu
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityPatvirtintas el. paštas stanford.edu
Haoyang ZengXaira TheurapeuticsPatvirtintas el. paštas xaira.com
Ajil JalalUC BerkeleyPatvirtintas el. paštas berkeley.edu
Themis GouleakisNanyang Technological UniversityPatvirtintas el. paštas ntu.edu.sg
Jennifer ChayesProfessor, UC BerkeleyPatvirtintas el. paštas jenniferchayes.com

Stebėti

Constantinos Daskalakis

Professor of Computer Science, MIT

Patvirtintas el. paštas csail.mit.edu - Pagrindinis puslapis

theoretical computer science economics probability theory learning statistics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
The complexity of computing a Nash equilibrium C Daskalakis, PW Goldberg, CH Papadimitriou Communications of the ACM 52 (2), 89-97, 2009	2157	2009
Training gans with optimism C Daskalakis, A Ilyas, V Syrgkanis, H Zeng arXiv preprint arXiv:1711.00141, 2017	601	2017
The limit points of (optimistic) gradient descent in min-max optimization C Daskalakis, I Panageas Advances in neural information processing systems 31, 2018	313	2018
Strong duality for a multiple-good monopolist C Daskalakis, A Deckelbaum, C Tzamos Proceedings of the Sixteenth ACM Conference on Economics and Computation …, 2015	281	2015
Optimal multi-dimensional mechanism design: Reducing revenue to welfare maximization Y Cai, C Daskalakis, SM Weinberg 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, 130-139, 2012	234	2012
Three-player games are hard C Daskalakis, CH Papadimitriou Electronic colloquium on computational complexity 139, 81-87, 2005	214	2005
Independent policy gradient methods for competitive reinforcement learning C Daskalakis, DJ Foster, N Golowich Advances in neural information processing systems 33, 5527-5540, 2020	208	2020
The robust manifold defense: Adversarial training using generative models A Ilyas, A Jalal, E Asteri, C Daskalakis, AG Dimakis arXiv preprint arXiv:1712.09196, 2017	200	2017
Last-iterate convergence: Zero-sum games and constrained min-max optimization C Daskalakis, I Panageas arXiv preprint arXiv:1807.04252, 2018	196	2018
An algorithmic characterization of multi-dimensional mechanisms Y Cai, C Daskalakis, SM Weinberg Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012	193	2012
Near-optimal no-regret algorithms for zero-sum games C Daskalakis, A Deckelbaum, A Kim Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011	188	2011
Optimal testing for properties of distributions J Acharya, C Daskalakis, G Kamath Advances in Neural Information Processing Systems 28, 2015	187	2015
The complexity of constrained min-max optimization C Daskalakis, S Skoulakis, M Zampetakis Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021	180	2021
Efficient methods for structured nonconvex-nonconcave min-max optimization J Diakonikolas, C Daskalakis, MI Jordan International Conference on Artificial Intelligence and Statistics, 2746-2754, 2021	173	2021
Optimum statistical estimation with strategic data sources Y Cai, C Daskalakis, C Papadimitriou Conference on Learning Theory, 280-296, 2015	167	2015
Progress in approximate Nash equilibria C Daskalakis, A Mehta, C Papadimitriou Proceedings of the 8th ACM Conference on Electronic Commerce, 355-358, 2007	165	2007
Ten steps of EM suffice for mixtures of two Gaussians C Daskalakis, C Tzamos, M Zampetakis Conference on Learning Theory, 704-710, 2017	150	2017
The complexity of optimal mechanism design C Daskalakis, A Deckelbaum, C Tzamos Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014	149	2014
A note on approximate Nash equilibria C Daskalakis, A Mehta, C Papadimitriou International Workshop on Internet and Network Economics, 297-306, 2006	148	2006
Continuous local search C Daskalakis, C Papadimitriou Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011	146	2011

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