Prateek Jain

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Praneeth NetrapalliGoogle ResearchZweryfikowany adres z google.com
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonZweryfikowany adres z cs.utexas.edu
Purushottam KarIIT KanpurZweryfikowany adres z cse.iitk.ac.in
Sham M KakadeHarvard UniversityZweryfikowany adres z seas.harvard.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarZweryfikowany adres z bu.edu
Abhradeep Guha ThakurtaGoogle Research - Brain TeamZweryfikowany adres z google.com
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinZweryfikowany adres z mail.utexas.edu
Kristen GraumanProfessor of Computer Science, University of Texas at AustinZweryfikowany adres z cs.utexas.edu
Aaron SidfordStanford UniversityZweryfikowany adres z stanford.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAZweryfikowany adres z caltech.edu
Suvrit SraTUM and MITZweryfikowany adres z mit.edu
Ambuj Tewari | अम्बुज तिवारीProfessor, Statistics and EECS, University of MichiganZweryfikowany adres z umich.edu
Srinadh BhojanapalliResearch Scientist, Google ResearchZweryfikowany adres z google.com
Nagarajan NatarajanResearcher, Microsoft Research IndiaZweryfikowany adres z microsoft.com
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinZweryfikowany adres z utexas.edu
Ashish KapoorCEO and Chief Scientist, Scaled FoundationsZweryfikowany adres z scaledfoundations.ai
Hsiang-Fu YuPrincipal Applied Scientist at AmazonZweryfikowany adres z cs.utexas.edu
Chi JinAssistant Professor, Princeton UniversityZweryfikowany adres z princeton.edu
Sudheendra VijayanarasimhanGoogle Inc.Zweryfikowany adres z cs.utexas.edu
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalZweryfikowany adres z iro.umontreal.ca

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Prateek Jain

Google Research India

Zweryfikowany adres z google.com - Strona główna

Machine Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	2680	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	1245	2013
Phase retrieval using alternating minimization P Netrapalli, P Jain, S Sanghavi Advances in Neural Information Processing Systems 26, 2013	740	2013
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	689	2024
Non-convex optimization for machine learning P Jain, P Kar Foundations and Trends® in Machine Learning 10 (3-4), 142-363, 2017	628	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	585	2014
Guaranteed rank minimization via singular value projection P Jain, R Meka, I Dhillon Advances in Neural Information Processing Systems 23, 2010	580	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	552	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	390	2020
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	366	2017
Non-convex robust PCA P Netrapalli, N UN, S Sanghavi, A Anandkumar, P Jain Advances in neural information processing systems 27, 2014	365	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
Fast similarity search for learned metrics B Kulis, P Jain, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009	326	2009
Differentially private online learning P Jain, P Kothari, A Thakurta Conference on Learning Theory, 24.1-24.34, 2012	279	2012
Online metric learning and fast similarity search P Jain, B Kulis, I Dhillon, K Grauman Advances in neural information processing systems 21, 2008	263	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	262	2014
Provable tensor factorization with missing data P Jain, S Oh Advances in Neural Information Processing Systems 27, 2014	245	2014
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	244	2020
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	240	2018
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	233	2012

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