Constantinos Daskalakis

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Christos H PAPADIMITRIOUColumbia UniversityE-mail confirmado em columbia.edu
Yang CaiAssociate Professor of Computer Science and Economics, Yale UniversityE-mail confirmado em yale.edu
Christos TzamosUniversity of Athens and University of Wisconsin-MadisonE-mail confirmado em di.uoa.gr
S. Matthew WeinbergAssociate Professor, Princeton UniversityE-mail confirmado em princeton.edu
Sebastien RochProfessor of Mathematics, UW MadisonE-mail confirmado em math.wisc.edu
Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector InstituteE-mail confirmado em uwaterloo.ca
Alexandros G DimakisProfessor, ECE University of Texas at AustinE-mail confirmado em austin.utexas.edu
Andrew IlyasMassachusetts Institute of TechnologyE-mail confirmado em mit.edu
Vasilis SyrgkanisAssistant Professor, Stanford UniversityE-mail confirmado em stanford.edu
Elchanan MosselProfessor of Mathematics, MITE-mail confirmado em mit.edu
Ilias DiakonikolasUniversity of Wisconsin-MadisonE-mail confirmado em wisc.edu
Ioannis PanageasAssistant Professor, University of California, IrvineE-mail confirmado em ics.uci.edu
Paul GoldbergProfessor of Computer Science, Oxford UniversityE-mail confirmado em cs.ox.ac.uk
Aranyak MehtaGoogle ResearchE-mail confirmado em google.com
Jayadev AcharyaAssistant Professor, Cornell UniversityE-mail confirmado em cornell.edu
Gregory ValiantAssistant Professor of Computer Science, Stanford UniversityE-mail confirmado em stanford.edu
Haoyang ZengInsitroE-mail confirmado em insitro.com
Ajil JalalUC BerkeleyE-mail confirmado em berkeley.edu
Jennifer ChayesProfessor, UC BerkeleyE-mail confirmado em jenniferchayes.com
Ozan CandoganBooth School of Business, University of ChicagoE-mail confirmado em chicagobooth.edu

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Constantinos Daskalakis

Professor of Computer Science, MIT

E-mail confirmado em csail.mit.edu - Página inicial

theoretical computer science economics probability theory learning statistics


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
The complexity of computing a Nash equilibrium C Daskalakis, PW Goldberg, CH Papadimitriou Communications of the ACM 52 (2), 89-97, 2009	2111	2009
Training gans with optimism C Daskalakis, A Ilyas, V Syrgkanis, H Zeng arXiv preprint arXiv:1711.00141, 2017	586	2017
The limit points of (optimistic) gradient descent in min-max optimization C Daskalakis, I Panageas Advances in neural information processing systems 31, 2018	306	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	268	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	202	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	200	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	183	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	148	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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