Suvrit Sra

Cited by

	All	Since 2015
Citations	10024	7122
h-index	47	42
i10-index	106	98

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Co-authors

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
Arindam BanerjeeProfessor, Computer Science & Engineering, University of Minnesota, Twin CitiesVerified email at cs.umn.edu
Alex SmolaAmazon Web ServicesVerified email at smola.org
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Brian KulisAssociate Professor, Boston UniversityVerified email at bu.edu
Reshad HosseiniAssistant Professor, Machine Learning and Robotics Group, University of TehranVerified email at tuebingen.mpg.de
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
Michael HirschMax Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.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 NowozinMicrosoft Research (Cambridge, UK)Verified email at microsoft.com
Ahmed HefnySoftware Engineer, WaymoVerified email at cs.cmu.edu
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Chulhee YunPhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Jingzhao ZhangEECS, LIDS, MITVerified email at mit.edu

Suvrit Sra

MIT

Verified email at mit.edu - Homepage

Nonconvex Optimization Machine Learning Matrix Analysis Convex Optimization Geometric Optimization


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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	2199	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 (Sep), 1345-1382, 2005	827	2005
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	549	2012
Generalized nonnegative matrix approximations with Bregman divergences S Sra, IS Dhillon Advances in neural information processing systems, 283-290, 2006	481	2006
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	387	2004
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	372	2016
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	205	2010
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization SJ Reddi, S Sra, B Poczos, A Smola Advances in Neural Information Processing Systems, 2016	158*	2016
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	148	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	146*	2012
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	145	2014
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	138	2003
Fast Newton-type methods for the least squares nonnegative matrix approximation problem D Kim, S Sra, I Dhillon SIAM Data Mining, 2007	137	2007
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	132	2012
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, SJ Reddi, S Sra Advances in Neural Information Processing Systems, 4592-4600, 2016	129	2016
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	128	2016
A new metric on the manifold of kernel matrices with application to matrix geometric means S Sra Advances in neural information processing systems, 144-152, 2012	107	2012
First-order methods for geodesically convex optimization H Zhang, S Sra Conference on Learning Theory (COLT), 2016	103	2016
Modeling data using directional distributions IS Dhillon, S Sra Technical Report TR-03-06, Department of Computer Sciences, The University …, 2003	102	2003
Geometric Mean Metric Learning PH Zadeh, R Hosseini, S Sra International Conference on Machine Learning (ICML), 2016	100*	2016

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