Constantinos Daskalakis

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引用	11727	7315
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i10 指数	123	108

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Christos H PAPADIMITRIOUColumbia University在 columbia.edu 的电子邮件经过验证
Yang CaiAssociate Professor of Computer Science and Economics, Yale University在 yale.edu 的电子邮件经过验证
Christos TzamosUniversity of Athens and University of Wisconsin-Madison在 di.uoa.gr 的电子邮件经过验证
S. Matthew WeinbergAssociate Professor, Princeton University在 princeton.edu 的电子邮件经过验证
Sebastien RochProfessor of Mathematics, UW Madison在 math.wisc.edu 的电子邮件经过验证
Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector Institute在 uwaterloo.ca 的电子邮件经过验证
Alexandros G DimakisProfessor, ECE University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证
Andrew IlyasMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Vasilis SyrgkanisAssistant Professor, Stanford University在 stanford.edu 的电子邮件经过验证
Elchanan MosselProfessor of Mathematics, MIT在 mit.edu 的电子邮件经过验证
Ilias DiakonikolasUniversity of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
Ioannis PanageasAssistant Professor, University of California, Irvine在 ics.uci.edu 的电子邮件经过验证
Paul GoldbergProfessor of Computer Science, Oxford University在 cs.ox.ac.uk 的电子邮件经过验证
Aranyak MehtaGoogle Research在 google.com 的电子邮件经过验证
Jayadev AcharyaAssistant Professor, Cornell University在 cornell.edu 的电子邮件经过验证
Gregory ValiantAssistant Professor of Computer Science, Stanford University在 stanford.edu 的电子邮件经过验证
Haoyang ZengInsitro在 insitro.com 的电子邮件经过验证
Ajil JalalUC Berkeley在 berkeley.edu 的电子邮件经过验证
Jennifer ChayesProfessor, UC Berkeley在 jenniferchayes.com 的电子邮件经过验证
Ozan CandoganBooth School of Business, University of Chicago在 chicagobooth.edu 的电子邮件经过验证

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Constantinos Daskalakis

Professor of Computer Science, MIT

在 csail.mit.edu 的电子邮件经过验证 - 首页

theoretical computer science economics probability theory learning statistics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
The complexity of computing a Nash equilibrium C Daskalakis, PW Goldberg, CH Papadimitriou Communications of the ACM 52 (2), 89-97, 2009	2117	2009
Training gans with optimism C Daskalakis, A Ilyas, V Syrgkanis, H Zeng arXiv preprint arXiv:1711.00141, 2017	587	2017
The limit points of (optimistic) gradient descent in min-max optimization C Daskalakis, I Panageas Advances in neural information processing systems 31, 2018	307	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	269	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	229	2012
Three-player games are hard C Daskalakis, CH Papadimitriou Electronic colloquium on computational complexity 139, 81-87, 2005	214	2005
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	203	2017
Independent policy gradient methods for competitive reinforcement learning C Daskalakis, DJ Foster, N Golowich Advances in neural information processing systems 33, 5527-5540, 2020	201	2020
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	188	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	187	2011
Last-iterate convergence: Zero-sum games and constrained min-max optimization C Daskalakis, I Panageas arXiv preprint arXiv:1807.04252, 2018	185	2018
Optimal testing for properties of distributions J Acharya, C Daskalakis, G Kamath Advances in Neural Information Processing Systems 28, 2015	184	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	163	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	160	2021
Optimum statistical estimation with strategic data sources Y Cai, C Daskalakis, C Papadimitriou Conference on Learning Theory, 280-296, 2015	159	2015
Progress in approximate Nash equilibria C Daskalakis, A Mehta, C Papadimitriou Proceedings of the 8th ACM Conference on Electronic Commerce, 355-358, 2007	154	2007
The complexity of optimal mechanism design C Daskalakis, A Deckelbaum, C Tzamos Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014	150	2014
Ten steps of EM suffice for mixtures of two Gaussians C Daskalakis, C Tzamos, M Zampetakis Conference on Learning Theory, 704-710, 2017	147	2017
Learning poisson binomial distributions C Daskalakis, I Diakonikolas, RA Servedio Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012	144	2012
A note on approximate Nash equilibria C Daskalakis, A Mehta, C Papadimitriou International Workshop on Internet and Network Economics, 297-306, 2006	141	2006

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