Suvrit Sra - Google Scholar Citations

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	All	Since 2014
Citations	8009	5920
h-index	45	40
i10-index	89	83

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Inderjit S. DhillonGottesman 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
Alex SmolaAmazon Web ServicesVerified email at smola.org
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; and Distinguished Amazon ScholarVerified email at tuebingen.mpg.de
Reshad HosseiniAssistant Professor, Machine Learning and Robotics Group, University of TehranVerified email at tuebingen.mpg.de
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Sebastian NowozinGoogle AI Berlin (Brain team)Verified email at google.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
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
Michael HirschMax Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Ahmed HefnySoftware Engineer, WaymoVerified email at cs.cmu.edu
Zelda MarietMIT CSAILVerified email at csail.mit.edu
Ali JadbabaieJR East Professor of Engineering, MITVerified email at 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	1938	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	702	2005
Generalized nonnegative matrix approximations with Bregman divergences S Sra, IS Dhillon Advances in neural information processing systems, 283-290, 2006	416	2006
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	391	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	370	2004
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	233	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	185	2010
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	125	2003
Fast Newton-type methods for the least squares nonnegative matrix approximation problem D Kim, S Sra, I Dhillon SIAM Data Mining, 2007	122	2007
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	121*	2012
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	118*	2015
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	108	2012
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	107*	2016
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	105	2014
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization SJ Reddi, S Sra, B Poczos, A Smola Advances in Neural Information Processing Systems, 2016	99*	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	87	2012
Modeling data using directional distributions IS Dhillon, S Sra Technical Report TR-03-06, Department of Computer Sciences, The University …, 2003	84	2003
Fast Newton-type methods for total variation regularization A Barbero, S Sra Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011	77	2011
Modular proximal optimization for multidimensional total-variation regularization A Barbero, S Sra The Journal of Machine Learning Research 19 (1), 2232-2313, 2018	74*	2018
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, SJ Reddi, S Sra Advances in Neural Information Processing Systems, 4592-4600, 2016	73*	2016

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