Prateek Jain

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Praneeth NetrapalliGoogle ResearchDirección de correo verificada de google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonDirección de correo verificada de cs.utexas.edu
Purushottam KarIIT KanpurDirección de correo verificada de cse.iitk.ac.in
Sham M KakadeHarvard UniversityDirección de correo verificada de seas.harvard.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarDirección de correo verificada de bu.edu
Abhradeep Guha ThakurtaGoogle Research - Brain TeamDirección de correo verificada de google.com
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinDirección de correo verificada de mail.utexas.edu
Kristen GraumanProfessor of Computer Science, University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Aaron SidfordStanford UniversityDirección de correo verificada de stanford.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIADirección de correo verificada de caltech.edu
Suvrit SraTUM and MITDirección de correo verificada de mit.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganDirección de correo verificada de umich.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchDirección de correo verificada de google.com
Nagarajan NatarajanResearcher, Microsoft Research IndiaDirección de correo verificada de microsoft.com
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinDirección de correo verificada de utexas.edu
Ashish KapoorCEO and Chief Scientist, Scaled FoundationsDirección de correo verificada de scaledfoundations.ai
Hsiang-Fu YuPrincipal Applied Scientist at AmazonDirección de correo verificada de cs.utexas.edu
Chi JinAssistant Professor, Princeton UniversityDirección de correo verificada de princeton.edu
Sudheendra VijayanarasimhanGoogle Inc.Dirección de correo verificada de cs.utexas.edu
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalDirección de correo verificada de iro.umontreal.ca

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Prateek Jain

Google Research India

Dirección de correo verificada de google.com - Página principal

Machine Learning


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	2695	2007
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024	1355	2024
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	1270	2013
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems 26, 2013	748	2013
Non-convex optimization for machine learning P Jain, P Kar Foundations and Trends® in Machine Learning 10 (3-4), 142-363, 2017	657	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	589	2014
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	589	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	560	2015
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	425	2020
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in neural information processing systems 27, 2014	377	2014
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	372	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	359	2008
Fast similarity search for learned metrics B Kulis, P Jain, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009	323	2009
Differentially private online learning P Jain, P Kothari, A Thakurta Conference on Learning Theory, 24.1-24.34, 2012	290	2012
On iterative hard thresholding methods for high-dimensional m-estimation P Jain, A Tewari, P Kar Advances in neural information processing systems 27, 2014	275	2014
Online metric learning and fast similarity search P Jain, B Kulis, I Dhillon, K Grauman Advances in neural information processing systems 21, 2008	264	2008
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	260	2020
Provable tensor factorization with missing data P Jain, S Oh Advances in Neural Information Processing Systems 27, 2014	246	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	241	2018
Efficient algorithms for smooth minimax optimization KK Thekumparampil, P Jain, P Netrapalli, S Oh Advances in neural information processing systems 32, 2019	237	2019

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