Suvrit Sra

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Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonAdresse e-mail validée de cs.utexas.edu
Stefanie JegelkaMITAdresse e-mail validée de mit.edu
Sashank J. ReddiResearch Scientist, Google ResearchAdresse e-mail validée de cs.cmu.edu
Ali JadbabaieJR East Professor of Engineering, MITAdresse e-mail validée de mit.edu
Jingzhao ZhangIIIS, Tsinghua UniversityAdresse e-mail validée de mit.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignAdresse e-mail validée de illinois.edu
Alex SmolaBoson AIAdresse e-mail validée de smola.org
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityAdresse e-mail validée de merl.com
Chulhee YunAssistant Professor, KAIST Kim Jaechul Graduate School of AIAdresse e-mail validée de kaist.ac.kr
Reshad HosseiniAssistant Professor, Machine Learning and Robotics Group, University of TehranAdresse e-mail validée de tuebingen.mpg.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHAdresse e-mail validée de tuebingen.mpg.de
Brian KulisAssociate Professor at Boston University & Amazon ScholarAdresse e-mail validée de bu.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Joshua RobinsonStanfordAdresse e-mail validée de mit.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinAdresse e-mail validée de cs.wisc.edu
Michael HirschMax Planck Institute for Intelligent Systems TübingenAdresse e-mail validée de tuebingen.mpg.de
Ahmed HefnyApplied Research Scientist, CruiseAdresse e-mail validée de getcruise.com
Sebastian NowozinGoogle DeepMindAdresse e-mail validée de deepmind.com
Stefan HarmelingProfessor at Technische Universität DortmundAdresse e-mail validée de tu-dortmund.de
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsAdresse e-mail validée de utexas.edu

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Suvrit Sra

MIT

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Nonconvex Optimization Machine Learning Matrix Analysis Convex Optimization Geometric Optimization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	2623	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	1100	2005
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	927	2012
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	624	2005
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	600	2016
Contrastive learning with hard negative samples J Robinson, CY Chuang, S Sra, S Jegelka ICLR 2021, 2021	466	2021
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	432	2004
Why gradient clipping accelerates training: A theoretical justification for adaptivity J Zhang, T He, S Sra, A Jadbabaie arXiv:1905.11881 (ICLR 2020), 2019	314	2019
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	295	2010
First-order methods for geodesically convex optimization H Zhang, S Sra Conference on Learning Theory (COLT), 2016	247	2016
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, S J Reddi, S Sra Advances in Neural Information Processing Systems 29, 2016	246	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	220	2016
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	212	2014
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	201	2015
Geometric Mean Metric Learning PH Zadeh, R Hosseini, S Sra International Conference on Machine Learning (ICML), 2016	188	2016
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	185	2012
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	181	2012
Entropic metric alignment for correspondence problems J Solomon, G Peyré, VG Kim, S Sra ACM Transactions on Graphics (ToG) 35 (4), 1-13, 2016	178	2016
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	177	2016
Fast Newton-type methods for the least squares nonnegative matrix approximation problem D Kim, S Sra, I Dhillon SIAM Data Mining, 2007	159	2007

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