Constantinos Daskalakis

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Christos H PAPADIMITRIOUColumbia UniversityVerified email at columbia.edu
Yang CaiAssociate Professor of Computer Science and Economics, Yale UniversityVerified email at yale.edu
Christos TzamosUniversity of Athens and University of Wisconsin-MadisonVerified email at di.uoa.gr
S. Matthew WeinbergAssociate Professor, Princeton UniversityVerified email at princeton.edu
Sebastien RochProfessor of Mathematics, UW MadisonVerified email at math.wisc.edu
Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector InstituteVerified email at uwaterloo.ca
Andrew IlyasMassachusetts Institute of TechnologyVerified email at mit.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
Vasilis SyrgkanisAssistant Professor, Stanford UniversityVerified email at stanford.edu
Elchanan MosselProfessor of Mathematics, MITVerified email at mit.edu
Ilias DiakonikolasUniversity of Wisconsin-MadisonVerified email at wisc.edu
Ioannis PanageasAssistant Professor, University of California, IrvineVerified email at ics.uci.edu
Paul GoldbergProfessor of Computer Science, Oxford UniversityVerified email at cs.ox.ac.uk
Aranyak MehtaGoogle ResearchVerified email at google.com
Jayadev AcharyaAssistant Professor, Cornell UniversityVerified email at cornell.edu
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityVerified email at stanford.edu
Haoyang ZengInsitroVerified email at insitro.com
Ajil JalalUC BerkeleyVerified email at berkeley.edu
Jennifer ChayesProfessor, UC BerkeleyVerified email at jenniferchayes.com
Ozan CandoganBooth School of Business, University of ChicagoVerified email at chicagobooth.edu

Constantinos Daskalakis

Professor of Computer Science, MIT

Verified email at csail.mit.edu - Homepage

theoretical computer science economics probability theory learning statistics


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The complexity of computing a Nash equilibrium C Daskalakis, PW Goldberg, CH Papadimitriou Communications of the ACM 52 (2), 89-97, 2009	2083	2009
Training gans with optimism C Daskalakis, A Ilyas, V Syrgkanis, H Zeng arXiv preprint arXiv:1711.00141, 2017	571	2017
The limit points of (optimistic) gradient descent in min-max optimization C Daskalakis, I Panageas Advances in neural information processing systems 31, 2018	302	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	256	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	224	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	199	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	188	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	186	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	182	2011
Last-iterate convergence: Zero-sum games and constrained min-max optimization C Daskalakis, I Panageas arXiv preprint arXiv:1807.04252, 2018	177	2018
Optimal testing for properties of distributions J Acharya, C Daskalakis, G Kamath Advances in Neural Information Processing Systems 28, 2015	173	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	156	2021
Optimum statistical estimation with strategic data sources Y Cai, C Daskalakis, C Papadimitriou Conference on Learning Theory, 280-296, 2015	155	2015
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	154	2021
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	146	2014
Ten steps of EM suffice for mixtures of two Gaussians C Daskalakis, C Tzamos, M Zampetakis Conference on Learning Theory, 704-710, 2017	143	2017
Learning poisson binomial distributions C Daskalakis, I Diakonikolas, RA Servedio Proceedings of the forty-fourth annual ACM symposium on Theory of computing …, 2012	140	2012
A note on approximate Nash equilibria C Daskalakis, A Mehta, C Papadimitriou International Workshop on Internet and Network Economics, 297-306, 2006	139	2006

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