Prateek Jain

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Praneeth NetrapalliGoogle ResearchVerified email at google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Purushottam KarIIT KanpurVerified email at cse.iitk.ac.in
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
Abhradeep Guha ThakurtaGoogle Research - Brain TeamVerified email at google.com
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinVerified email at mail.utexas.edu
Kristen GraumanProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Aaron SidfordStanford UniversityVerified email at stanford.edu
Suvrit SraTUM and MITVerified email at mit.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganVerified email at umich.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchVerified email at google.com
Nagarajan NatarajanResearcher, Microsoft Research IndiaVerified email at microsoft.com
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
Ashish KapoorCEO and Chief Scientist, Scaled FoundationsVerified email at scaledfoundations.ai
Hsiang-Fu YuPrincipal Applied Scientist at AmazonVerified email at cs.utexas.edu
Chi JinAssistant Professor, Princeton UniversityVerified email at princeton.edu
Sudheendra VijayanarasimhanGoogle Inc.Verified email at cs.utexas.edu
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalVerified email at iro.umontreal.ca

Prateek Jain

Google Research India

Verified email at google.com - Homepage

Machine Learning


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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	2663	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	1222	2013
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems 26, 2013	722	2013
Non-convex optimization for machine learning P Jain, P Kar Foundations and Trends® in Machine Learning 10 (3-4), 142-363, 2017	611	2017
Large-scale multi-label learning with missing labels HF Yu, P Jain, P Kar, I Dhillon International conference on machine learning, 593-601, 2014	575	2014
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	573	2010
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	539	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	359	2017
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in neural information processing systems 27, 2014	359	2014
Fast image search for learned metrics P Jain, B Kulis, K Grauman 2008 IEEE Conference on computer vision and pattern recognition, 1-8, 2008	357	2008
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	354	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	324	2009
Differentially private online learning P Jain, P Kothari, A Thakurta Conference on Learning Theory, 24.1-24.34, 2012	272	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	256	2014
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	237	2018
Provable tensor factorization with missing data P Jain, S Oh Advances in Neural Information Processing Systems 27, 2014	237	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	232	2012
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	230	2020
Active learning for large multi-class problems P Jain, A Kapoor 2009 IEEE Conference on Computer Vision and Pattern Recognition, 762-769, 2009	229	2009

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