Suvrit Sra 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	17991	10492
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Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at Amazon在 cs.utexas.edu 的电子邮件经过验证
Stefanie JegelkaTUM and MIT在 mit.edu 的电子邮件经过验证
Ali JadbabaieJR East Professor of Engineering, MIT在 mit.edu 的电子邮件经过验证
Sashank J. ReddiResearch Scientist, Google Research在 cs.cmu.edu 的电子邮件经过验证
Jingzhao ZhangIIIS, Tsinghua University在 mit.edu 的电子邮件经过验证
Alex SmolaBoson AI在 smola.org 的电子邮件经过验证
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Chulhee YunAssistant Professor, KAIST Kim Jaechul Graduate School of AI在 kaist.ac.kr 的电子邮件经过验证
Anoop CherianMitsubishi Electric Research Labs (MERL), Australian National University在 merl.com 的电子邮件经过验证
Reshad HosseiniAssistant Professor, Machine Learning and Robotics Group, University of Tehran在 tuebingen.mpg.de 的电子邮件经过验证
Brian KulisAssociate Professor at Boston University & Amazon Scholar在 bu.edu 的电子邮件经过验证
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETH在 tuebingen.mpg.de 的电子邮件经过验证
Barnabas PoczosAssociate professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Joshua RobinsonStanford在 mit.edu 的电子邮件经过验证
Sebastian NowozinGoogle DeepMind在 deepmind.com 的电子邮件经过验证
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of Wisconsin在 cs.wisc.edu 的电子邮件经过验证
Ahmed HefnyApplied Research Scientist, Cruise在 getcruise.com 的电子邮件经过验证
Kwangjun AhnPhD Student, MIT在 mit.edu 的电子邮件经过验证
Chengtao LiGalixir在 galixir.com 的电子邮件经过验证
Michael HirschMax Planck Institute for Intelligent Systems Tübingen在 tuebingen.mpg.de 的电子邮件经过验证

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Suvrit Sra

TU Munich, MIT

在 mit.edu 的电子邮件经过验证 - 首页

Nonconvex Optimization Deep Learning Theory Matrix Analysis Geometric Optimization


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	2659	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	1168	2005
Optimization for machine learning S Sra, S Nowozin, SJ Wright Mit Press, 2012	993	2012
Contrastive learning with hard negative samples J Robinson, CY Chuang, S Sra, S Jegelka ICLR 2021, 2021	692	2021
Stochastic Variance Reduction for Nonconvex Optimization SJ Reddi, A Hefny, S Sra, B Póczós, A Smola International Conference on Machine Learning (ICML), 2016	652	2016
Generalized nonnegative matrix approximations with Bregman divergences S Sra, I Dhillon Advances in neural information processing systems 18, 2005	649	2005
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	438	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	417	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	307	2010
First-order methods for geodesically convex optimization H Zhang, S Sra Conference on Learning Theory (COLT), 2016	296	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	279*	2020
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds H Zhang, S J Reddi, S Sra Advances in Neural Information Processing Systems 29, 2016	269	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	239	2016
Randomized nonlinear component analysis D Lopez-Paz, S Sra, A Smola, Z Ghahramani, B Schölkopf International conference on machine learning, 1359-1367, 2014	228	2014
Geometric Mean Metric Learning PH Zadeh, R Hosseini, S Sra International Conference on Machine Learning (ICML), 2016	209	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	208	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	199	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	197	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	196	2012
Positive definite matrices and the S-divergence S Sra Proceedings of the American Mathematical Society 144 (7), 2787-2797, 2016	186	2016

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