Suvrit Sra - Google Scholar Citations

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	All	Since 2014
Citations	8586	6464
h-index	46	41
i10-index	94	87

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Inderjit S. DhillonAmazon Fellow and Gottesman Family Centennial Professor, CS Dept, UT AustinVerified email at cs.utexas.edu
Sashank J. ReddiResearch Scientist, Google ResearchVerified email at cs.cmu.edu
Arindam BanerjeeProfessor, Computer Science & Engineering, University of Minnesota, Twin CitiesVerified email at cs.umn.edu
Stefanie JegelkaMITVerified email at mit.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; and Distinguished Amazon ScholarVerified email at tuebingen.mpg.de
Alex SmolaAmazon Web ServicesVerified email at smola.org
Reshad HosseiniAssistant Professor, Machine Learning and Robotics Group, University of TehranVerified email at tuebingen.mpg.de
Sebastian NowozinGoogle AI Berlin (Brain team)Verified email at google.com
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Michael HirschMax Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. of Texas at AustinVerified email at utexas.edu
Stefan HarmelingProfessor at Heinrich-Heine-Universität DüsseldorfVerified email at hhu.de
Ahmed HefnySoftware Engineer, WaymoVerified email at cs.cmu.edu
Ali JadbabaieJR East Professor of Engineering, MITVerified email at mit.edu
Zelda MarietMIT CSAILVerified email at csail.mit.edu
Hongyi ZhangByteDance Inc.Verified email at bytedance.com

Suvrit Sra

MIT

Verified email at mit.edu - Homepage

Nonconvex Optimization Machine Learning Matrix Analysis Convex Optimization Geometric Optimization


Title	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	2014	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	745	2005
Generalized nonnegative matrix approximations with Bregman divergences S Sra, IS Dhillon Advances in neural information processing systems, 283-290, 2006	433	2006
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	426	2012
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	376	2004
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	276	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	191	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	130*	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	127*	2012
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	127	2003
Fast Newton-type methods for the least squares nonnegative matrix approximation problem D Kim, S Sra, I Dhillon SIAM Data Mining, 2007	126	2007
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization SJ Reddi, S Sra, B Poczos, A Smola Advances in Neural Information Processing Systems, 2016	120*	2016
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	117	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	116	2012
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	115*	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	94	2012
Modeling data using directional distributions IS Dhillon, S Sra Technical Report TR-03-06, Department of Computer Sciences, The University …, 2003	92	2003
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, SJ Reddi, S Sra Advances in Neural Information Processing Systems, 4592-4600, 2016	91*	2016
Interior-point methods for large-scale cone programming M Andersen, J Dahl, Z Liu, L Vandenberghe, S Sra, S Nowozin, SJ Wright Optimization for machine learning 5583, 2011	79	2011
Fast Newton-type methods for total variation regularization A Barbero, S Sra Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	79	2011

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