Suvrit Sra

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Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Stefanie JegelkaTUM and MITVerified email at mit.edu
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Jingzhao ZhangIIIS, Tsinghua UniversityVerified email at mit.edu
Ali JadbabaieJR East Professor of Engineering, MITVerified email at mit.edu
Alex SmolaBoson AIVerified email at smola.org
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityVerified email at merl.com
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Chulhee YunAssistant Professor, KAIST Kim Jaechul Graduate School of AIVerified email at kaist.ac.kr
Reshad HosseiniAssistant Professor, Machine Learning and Robotics Group, University of TehranVerified email at tuebingen.mpg.de
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Joshua RobinsonStanfordVerified email at mit.edu
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Ahmed HefnyApplied Research Scientist, CruiseVerified email at getcruise.com
Chengtao LiGalixirVerified email at galixir.com
Kwangjun AhnMicrosoft ResearchVerified email at microsoft.com
Michael HirschMax Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de

Suvrit Sra

TUM and MIT

Verified email at mit.edu - Homepage

Nonconvex Optimization Deep Learning Theory Matrix Analysis 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	2668	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	1201	2005
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2011	1010	2011
Contrastive learning with hard negative samples J Robinson, CY Chuang, S Sra, S Jegelka ICLR 2021, 2021	789	2021
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	675	2016
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	656	2005
Why gradient clipping accelerates training: A theoretical justification for adaptivity J Zhang, T He, S Sra, A Jadbabaie arXiv:1905.11881 (ICLR 2020), 2019	460	2019
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	440	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	311	2010
First-order methods for geodesically convex optimization H Zhang, S Sra Conference on Learning Theory (COLT), 2016	308	2016
Why are adaptive methods good for attention models? J Zhang, SP Karimireddy, A Veit, S Kim, S Reddi, S Kumar, S Sra Advances in Neural Information Processing Systems 33, 15383-15393, 2020	304*	2020
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, S J Reddi, S Sra Advances in Neural Information Processing Systems 29, 2016	279	2016
Proximal stochastic methods for nonsmooth nonconvex finite-sum optimization SJ Reddi, S Sra, B Poczos, A Smola Advances in Neural Information Processing Systems, 2016	248	2016
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	230	2014
Geometric Mean Metric Learning PH Zadeh, R Hosseini, S Sra International Conference on Machine Learning (ICML), 2016	215	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	214	2015
Entropic metric alignment for correspondence problems J Solomon, G Peyré, VG Kim, S Sra ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016	210	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, 177-190, 2012	204	2012
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	198	2012
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	189	2016

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