Suvrit Sra

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Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonDirección de correo verificada de cs.utexas.edu
Stefanie JegelkaTUM and MITDirección de correo verificada de mit.edu
Sashank J. ReddiResearch Scientist, Google ResearchDirección de correo verificada de cs.cmu.edu
Jingzhao ZhangIIIS, Tsinghua UniversityDirección de correo verificada de mit.edu
Ali JadbabaieJR East Professor of Engineering, MITDirección de correo verificada de mit.edu
Alex SmolaBoson AIDirección de correo verificada de smola.org
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National UniversityDirección de correo verificada de merl.com
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignDirección de correo verificada de illinois.edu
Chulhee YunAssistant Professor, KAIST Kim Jaechul Graduate School of AIDirección de correo verificada de kaist.ac.kr
Reshad HosseiniAssistant Professor, Machine Learning and Robotics Group, University of TehranDirección de correo verificada de tuebingen.mpg.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHDirección de correo verificada de tuebingen.mpg.de
Brian KulisAssociate Professor at Boston University & Amazon ScholarDirección de correo verificada de bu.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Sebastian NowozinGoogle DeepMindDirección de correo verificada de deepmind.com
Joshua RobinsonStanfordDirección de correo verificada de mit.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinDirección de correo verificada de cs.wisc.edu
Ahmed HefnyApplied Research Scientist, CruiseDirección de correo verificada de getcruise.com
Kwangjun AhnMicrosoft ResearchDirección de correo verificada de microsoft.com
Chengtao LiGalixirDirección de correo verificada de galixir.com
Michael HirschMax Planck Institute for Intelligent Systems TübingenDirección de correo verificada de tuebingen.mpg.de

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Suvrit Sra

TUM and MIT

Dirección de correo verificada de mit.edu - Página principal

Nonconvex Optimization Deep Learning Theory Matrix Analysis Geometric Optimization


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2686	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	1218	2005
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2011	1028	2011
Contrastive learning with hard negative samples J Robinson, CY Chuang, S Sra, S Jegelka ICLR 2021, 2021	865	2021
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	684	2016
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	662	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	500	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	441	2004
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	334*	2020
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	319	2010
First-order methods for geodesically convex optimization H Zhang, S Sra Conference on Learning Theory (COLT), 2016	316	2016
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, S J Reddi, S Sra Advances in Neural Information Processing Systems 29, 2016	286	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	249	2016
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	233	2014
Geometric Mean Metric Learning PH Zadeh, R Hosseini, S Sra International Conference on Machine Learning (ICML), 2016	219	2016
Entropic metric alignment for correspondence problems J Solomon, G Peyré, VG Kim, S Sra ACM Transactions on Graphics (ToG) 35 (4), 1-13, 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
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	207	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	202	2012
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	191	2016

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