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
Stefanie JegelkaMITVerified email at mit.edu
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Ali JadbabaieJR East Professor of Engineering, MITVerified email at mit.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Alex SmolaAmazon Web ServicesVerified email at smola.org
Jingzhao ZhangIIIS, Tsinghua UniversityVerified email at mit.edu
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified 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
Chulhee YunAssistant Professor, KAIST Kim Jaechul Graduate School of AIVerified email at kaist.ac.kr
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
Prateek JainGoogle Research IndiaVerified email at google.com
Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Verified email at microsoft.com
Michael HirschMax Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Ahmed HefnySoftware Engineer, WaymoVerified email at cs.cmu.edu
Stefan HarmelingProfessor at Technische Universität DortmundVerified email at tu-dortmund.de
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu

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	2508	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	985	2005
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	754	2012
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	567	2005
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	500	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	415	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	251	2010
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, S J Reddi, S Sra Advances in Neural Information Processing Systems 29, 2016	193	2016
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	184	2014
Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization SJ Reddi, S Sra, B Poczos, A Smola Advances in Neural Information Processing Systems, 2016	183	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	177	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	173	2012
First-order methods for geodesically convex optimization H Zhang, S Sra Conference on Learning Theory (COLT), 2016	169	2016
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	161	2012
Contrastive learning with hard negative samples J Robinson, CY Chuang, S Sra, S Jegelka ICLR 2021, 2021	159	2021
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	158	2016
Why gradient clipping accelerates training: A theoretical justification for adaptivity J Zhang, T He, S Sra, A Jadbabaie arXiv:1905.11881 (ICLR 2020), 2019	157	2019
Geometric Mean Metric Learning PH Zadeh, R Hosseini, S Sra International Conference on Machine Learning (ICML), 2016	149	2016
Fast Newton-type methods for the least squares nonnegative matrix approximation problem D Kim, S Sra, I Dhillon SIAM Data Mining, 2007	149	2007
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	149	2003

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