Suvrit Sra

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Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Stefanie JegelkaMITVerified email at mit.edu
Alex SmolaAmazon Web ServicesVerified email at smola.org
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Brian KulisAssociate Professor, Boston UniversityVerified email at bu.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ali JadbabaieJR East Professor of Engineering, MITVerified email at mit.edu
Reshad HosseiniAssistant Professor, Machine Learning and Robotics Group, University of TehranVerified email at tuebingen.mpg.de
Jingzhao ZhangEECS, LIDS, MITVerified email at mit.edu
Michael HirschMax Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Ahmed HefnySoftware Engineer, WaymoVerified email at cs.cmu.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Chulhee YunPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at Austin; Faculty Dell Med, UTCS, McCombs, UT-BMEVerified email at utexas.edu
Stefan HarmelingProfessor at Heinrich-Heine-Universität DüsseldorfVerified email at hhu.de
Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Verified email at microsoft.com
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com

Suvrit Sra

MIT

Verified email at mit.edu - Homepage

Nonconvex Optimization Machine Learning Matrix Analysis Convex Optimization Geometric Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Information-theoretic metric learning JV Davis, B Kulis, P Jain, S Sra, IS Dhillon Proceedings of the 24th international conference on Machine learning, 209-216, 2007	2362	2007
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. A Banerjee, IS Dhillon, J Ghosh, S Sra Journal of Machine Learning Research 6 (9), 2005	888	2005
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	609	2012
Generalized nonnegative matrix approximations with Bregman divergences IS Dhillon, S Sra NIPS 18, 2005	511	2005
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	429	2016
Minimum sum-squared residue co-clustering of gene expression data H Cho, IS Dhillon, Y Guan, S Sra Proceedings of the 2004 SIAM international conference on data mining, 114-125, 2004	403	2004
Efficient filter flow for space-variant multiframe blind deconvolution M Hirsch, S Sra, B Schölkopf, S Harmeling 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	223	2010
On variance reduction in stochastic gradient descent and its asynchronous variants SJ Reddi, A Hefny, S Sra, B Poczos, AJ Smola Advances in neural information processing systems, 2647-2655, 2015	167	2015
Jensen-bregman logdet divergence with application to efficient similarity search for covariance matrices A Cherian, S Sra, A Banerjee, N Papanikolopoulos IEEE transactions on pattern analysis and machine intelligence 35 (9), 2161-2174, 2012	164*	2012
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization SJ Reddi, S Sra, B Poczos, A Smola Advances in Neural Information Processing Systems, 2016	163*	2016
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	161	2014
A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of I s (x) S Sra Computational Statistics 27 (1), 177-190, 2012	147	2012
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	144	2016
Generative model-based clustering of directional data A Banerjee, I Dhillon, J Ghosh, S Sra Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	143	2003
Fast Newton-type methods for the least squares nonnegative matrix approximation problem D Kim, S Sra, I Dhillon SIAM Data Mining, 2007	136	2007
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, SJ Reddi, S Sra arXiv preprint arXiv:1605.07147, 2016	134	2016
First-order methods for geodesically convex optimization H Zhang, S Sra Conference on Learning Theory (COLT), 2016	123	2016
A new metric on the manifold of kernel matrices with application to matrix geometric means S Sra Advances in neural information processing systems 25, 144-152, 2012	120	2012
Modeling data using directional distributions IS Dhillon, S Sra Technical Report TR-03-06, Department of Computer Sciences, The University …, 2003	115	2003
Geometric Mean Metric Learning PH Zadeh, R Hosseini, S Sra International Conference on Machine Learning (ICML), 2016	110	2016

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