Raghu Meka

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Adam KlivansProfessor of Computer Science, University of Texas at AustinE-mail confirmado em cs.utexas.edu
Parikshit GopalanAppleE-mail confirmado em apple.com
David ZuckermanProfessor of Computer Science, University of Texas at AustinE-mail confirmado em cs.utexas.edu
Prateek JainGoogle Research IndiaE-mail confirmado em google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonE-mail confirmado em cs.utexas.edu
Omer ReingoldStanford UniversityE-mail confirmado em stanford.edu
Shachar LovettAssociate Professor of Computer Science, University of California San DiegoE-mail confirmado em eng.ucsd.edu
Sitan ChenAssistant Professor of Computer Science, Harvard UniversityE-mail confirmado em seas.harvard.edu
Pravesh K. KothariPrinceton UniversityE-mail confirmado em cs.cmu.edu
Daniel KaneUniversity of California, San DiegoE-mail confirmado em ucsd.edu
Nikhil BansalUniversity of MichiganE-mail confirmado em umich.edu
Prahladh HarshaTata Institute of Fundamental Research, MumbaiE-mail confirmado em tifr.res.in
Frederic KoehlerUniversity of ChicagoE-mail confirmado em uchicago.edu
Salil VadhanVicky Joseph Professor of Computer Science and Applied Mathematics, Harvard UniversityE-mail confirmado em g.harvard.edu
Thomas WatsonAssociate Professor of Computer Science, University of MemphisE-mail confirmado em memphis.edu
Mika GöösEPFLE-mail confirmado em epfl.ch
Avishay TalUC BerkeleyE-mail confirmado em berkeley.edu
Johan HåstadProfessor i teoretisk datalogi, KTHE-mail confirmado em kth.se
Boaz BarakHarvard UniversityE-mail confirmado em boazbarak.org
David SteurerETH ZürichE-mail confirmado em inf.ethz.ch

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Raghu Meka

University of California, Los Angeles

E-mail confirmado em cs.ucla.edu - Página inicial

Theoretical computer science


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	587	2010
Constructive discrepancy minimization by walking on the edges S Lovett, R Meka SIAM Journal on Computing 44 (5), 1573-1582, 2015	193	2015
Efficient algorithms for outlier-robust regression A Klivans, PK Kothari, R Meka Conference On Learning Theory, 1420-1430, 2018	182	2018
Learning graphical models using multiplicative weights A Klivans, R Meka 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017	145	2017
Simultaneous unsupervised learning of disparate clusterings P Jain, R Meka, IS Dhillon Statistical Analysis and Data Mining: The ASA Data Science Journal 1 (3 …, 2008	127	2008
Sum-of-squares lower bounds for planted clique R Meka, A Potechin, A Wigderson Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015	122	2015
Pseudorandom generators for polynomial threshold functions R Meka, D Zuckerman Proceedings of the Forty-second ACM Symposium on Theory of Computing, 427-436, 2010	114	2010
Better pseudorandom generators from milder pseudorandom restrictions P Gopalan, R Meka, O Reingold, L Trevisan, S Vadhan 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, 120-129, 2012	96	2012
Making the long code shorter B Barak, P Gopalan, J Håstad, R Meka, P Raghavendra, D Steurer 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, 370-379, 2012	96	2012
Polynomial-time approximation schemes for knapsack and related counting problems using branching programs P Gopalan, A Klivans, R Meka arXiv preprint arXiv:1008.3187, 2010	94*	2010
Guaranteed rank minimization via singular value projection R Meka, P Jain, IS Dhillon arXiv preprint arXiv:0909.5457, 2009	93	2009
Learning one convolutional layer with overlapping patches S Goel, A Klivans, R Meka International conference on machine learning, 1783-1791, 2018	88	2018
Pseudorandomness from shrinkage R Impagliazzo, R Meka, D Zuckerman 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, 111-119, 2012	85	2012
Almost optimal explicit Johnson-Lindenstrauss families D Kane, R Meka, J Nelson International Workshop on Approximation Algorithms for Combinatorial …, 2011	85	2011
Rank minimization via online learning R Meka, P Jain, C Caramanis, IS Dhillon Proceedings of the 25th International Conference on Machine learning, 656-663, 2008	84	2008
Rectangles are nonnegative juntas M Goos, S Lovett, R Meka, T Watson, D Zuckerman SIAM Journal on Computing 45 (5), 1835-1869, 2016	78	2016
Bounding the sensitivity of polynomial threshold functions P Harsha, A Klivans, R Meka arXiv preprint arXiv:0909.5175, 2009	75*	2009
Matrix completion from power-law distributed samples R Meka, P Jain, I Dhillon Advances in neural information processing systems 22, 2009	71	2009
Approximating rectangles by juntas and weakly-exponential lower bounds for LP relaxations of CSPs PK Kothari, R Meka, P Raghavendra Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017	69	2017
Computational limits for matrix completion M Hardt, R Meka, P Raghavendra, B Weitz Conference on Learning Theory, 703-725, 2014	67	2014

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