Raghu Meka

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Adam KlivansProfessor of Computer Science, University of Texas at AustinEmail verificata su cs.utexas.edu
Parikshit GopalanAppleEmail verificata su apple.com
David ZuckermanProfessor of Computer Science, University of Texas at AustinEmail verificata su cs.utexas.edu
Prateek JainGoogle Research IndiaEmail verificata su google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonEmail verificata su cs.utexas.edu
Omer ReingoldStanford UniversityEmail verificata su stanford.edu
Shachar LovettAssociate Professor of Computer Science, University of California San DiegoEmail verificata su eng.ucsd.edu
Sitan ChenAssistant Professor of Computer Science, Harvard UniversityEmail verificata su seas.harvard.edu
Pravesh K. KothariPrinceton UniversityEmail verificata su cs.cmu.edu
Daniel KaneUniversity of California, San DiegoEmail verificata su ucsd.edu
Nikhil BansalUniversity of MichiganEmail verificata su umich.edu
Prahladh HarshaTata Institute of Fundamental Research, MumbaiEmail verificata su tifr.res.in
Frederic KoehlerUniversity of ChicagoEmail verificata su uchicago.edu
Salil VadhanVicky Joseph Professor of Computer Science and Applied Mathematics, Harvard UniversityEmail verificata su g.harvard.edu
Thomas WatsonAssociate Professor of Computer Science, University of MemphisEmail verificata su memphis.edu
Mika GöösEPFLEmail verificata su epfl.ch
Avishay TalUC BerkeleyEmail verificata su berkeley.edu
Johan HåstadProfessor i teoretisk datalogi, KTHEmail verificata su kth.se
Boaz BarakHarvard UniversityEmail verificata su boazbarak.org
David SteurerETH ZürichEmail verificata su inf.ethz.ch

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Raghu Meka

University of California, Los Angeles

Email verificata su cs.ucla.edu - Home page

Theoretical computer science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	144	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	76	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	68	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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