Prateek Jain

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Praneeth NetrapalliGoogle ResearchAdresse e-mail validée de google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonAdresse e-mail validée de cs.utexas.edu
Purushottam KarIIT KanpurAdresse e-mail validée de cse.iitk.ac.in
Sham M KakadeHarvard UniversityAdresse e-mail validée de seas.harvard.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarAdresse e-mail validée de bu.edu
Abhradeep Guha ThakurtaGoogle Research - Brain TeamAdresse e-mail validée de google.com
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinAdresse e-mail validée de mail.utexas.edu
Kristen GraumanProfessor of Computer Science, University of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAAdresse e-mail validée de caltech.edu
Aaron SidfordStanford UniversityAdresse e-mail validée de stanford.edu
Suvrit SraTUM and MITAdresse e-mail validée de mit.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganAdresse e-mail validée de umich.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchAdresse e-mail validée de google.com
Nagarajan NatarajanResearcher, Microsoft Research IndiaAdresse e-mail validée de microsoft.com
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinAdresse e-mail validée de utexas.edu
Ashish KapoorCEO and Chief Scientist, Scaled FoundationsAdresse e-mail validée de scaledfoundations.ai
Hsiang-Fu YuPrincipal Applied Scientist at AmazonAdresse e-mail validée de cs.utexas.edu
Chi JinAssistant Professor, Princeton UniversityAdresse e-mail validée de princeton.edu
Sudheendra VijayanarasimhanGoogle Inc.Adresse e-mail validée de cs.utexas.edu
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalAdresse e-mail validée de iro.umontreal.ca

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Prateek Jain

Google Research India

Adresse e-mail validée de google.com - Page d'accueil

Machine Learning


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	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	610	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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