Prateek Jain 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	17261	9945
h 指数	58	48
i10 指数	130	117

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Praneeth NetrapalliGoogle Research在 google.com 的电子邮件经过验证
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
Purushottam KarIIT Kanpur在 cse.iitk.ac.in 的电子邮件经过验证
Sham M KakadeHarvard University在 seas.harvard.edu 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
Abhradeep Guha ThakurtaGoogle Research - Brain Team在 google.com 的电子邮件经过验证
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, Austin在 mail.utexas.edu 的电子邮件经过验证
Kristen GraumanProfessor of Computer Science, University of Texas at Austin在 cs.utexas.edu 的电子邮件经过验证
Anima AnandkumarCalifornia Institute of Technology and NVIDIA在 caltech.edu 的电子邮件经过验证
Aaron SidfordStanford University在 stanford.edu 的电子邮件经过验证
Suvrit SraTU Munich, MIT在 mit.edu 的电子邮件经过验证
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of Michigan在 umich.edu 的电子邮件经过验证
Nagarajan NatarajanResearcher, Microsoft Research India在 microsoft.com 的电子邮件经过验证
Srinadh BhojanapalliResearch Scientist, Google Research在 google.com 的电子邮件经过验证
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT Austin在 utexas.edu 的电子邮件经过验证
Ashish KapoorCEO and Chief Scientist, Scaled Foundations在 scaledfoundations.ai 的电子邮件经过验证
Hsiang-Fu YuPrincipal Applied Scientist at Amazon在 cs.utexas.edu 的电子邮件经过验证
Chi JinAssistant Professor, Princeton University在 princeton.edu 的电子邮件经过验证
Sudheendra VijayanarasimhanGoogle Inc.在 cs.utexas.edu 的电子邮件经过验证
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of Montréal在 iro.umontreal.ca 的电子邮件经过验证

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Prateek Jain

Google Research India

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Machine Learning


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	2650	2007
Low-rank matrix completion using alternating minimization P Jain, P Netrapalli, S Sanghavi Proceedings of the forty-fifth annual ACM symposium on Theory of computing …, 2013	1202	2013
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems 26, 2013	706	2013
Non-convex optimization for machine learning P Jain, P Kar Foundations and Trends® in Machine Learning 10 (3-4), 142-363, 2017	572	2017
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	565	2010
Large-scale multi-label learning with missing labels HF Yu, P Jain, P Kar, I Dhillon International conference on machine learning, 593-601, 2014	564	2014
Sparse local embeddings for extreme multi-label classification K Bhatia, H Jain, P Kar, M Varma, P Jain Advances in neural information processing systems 28, 2015	529	2015
Recovery guarantees for one-hidden-layer neural networks K Zhong, Z Song, P Jain, PL Bartlett, IS Dhillon International conference on machine learning, 4140-4149, 2017	356	2017
Fast image search for learned metrics P Jain, B Kulis, K Grauman 2008 IEEE Conference on computer vision and pattern recognition, 1-8, 2008	355	2008
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in neural information processing systems 27, 2014	353	2014
The pitfalls of simplicity bias in neural networks H Shah, K Tamuly, A Raghunathan, P Jain, P Netrapalli Advances in Neural Information Processing Systems 33, 9573-9585, 2020	334	2020
Fast similarity search for learned metrics B Kulis, P Jain, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009	320	2009
Differentially private online learning P Jain, P Kothari, A Thakurta Conference on Learning Theory, 24.1-24.34, 2012	268	2012
Online metric learning and fast similarity search P Jain, B Kulis, I Dhillon, K Grauman Advances in neural information processing systems 21, 2008	261	2008
On iterative hard thresholding methods for high-dimensional m-estimation P Jain, A Tewari, P Kar Advances in neural information processing systems 27, 2014	249	2014
Provable tensor factorization with missing data P Jain, S Oh Advances in Neural Information Processing Systems 27, 2014	233	2014
Metric and kernel learning using a linear transformation P Jain, B Kulis, JV Davis, IS Dhillon The Journal of Machine Learning Research 13 (1), 519-547, 2012	228	2012
Active learning for large multi-class problems P Jain, A Kapoor 2009 IEEE Conference on Computer Vision and Pattern Recognition, 762-769, 2009	228	2009
Fastgrnn: A fast, accurate, stable and tiny kilobyte sized gated recurrent neural network A Kusupati, M Singh, K Bhatia, A Kumar, P Jain, M Varma Advances in neural information processing systems 31, 2018	227	2018
Soft threshold weight reparameterization for learnable sparsity A Kusupati, V Ramanujan, R Somani, M Wortsman, P Jain, S Kakade, ... International Conference on Machine Learning, 5544-5555, 2020	212	2020

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