John Duchi

Citado por

	Todos	Desde 2020
Citações	38248	24537
Índice h	66	57
Índice i10	113	103

6000

3000

1500

4500

2010201120122013201420152016201720182019202020212022202320242025152 181 347 508 795 1065 1674 2148 2923 3538 4348 4676 5079 5048 5188 188

Acesso público

Ver tudo

44 artigos

0 artigos

disponível

não disponível

Com base em autorizações de financiamento

Coautores

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail confirmado em cs.berkeley.edu
Hongseok NamkoongColumbia UniversityEmail confirmado em columbia.edu
Yair CarmonTel Aviv UniversityEmail confirmado em tauex.tau.ac.il
Alekh AgarwalGoogleEmail confirmado em google.com
Feng RuanDepartment of EECS, University of California, BerkeleyEmail confirmado em berkeley.edu
Aman SinhaStanford UniversityEmail confirmado em stanford.edu
Aaron SidfordStanford UniversityEmail confirmado em stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityEmail confirmado em cs.stanford.edu
Hilal AsiApple ML ResearchEmail confirmado em apple.com
Yuchen ZhangResearch Scientist at ByteDanceEmail confirmado em microsoft.com
Oliver HinderAssistant Professor, Industrial Engineering Department, University of PittsburghEmail confirmado em pitt.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonEmail confirmado em princeton.edu
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityEmail confirmado em cmu.edu
Shai Shalev-ShwartzThe Hebrew UniversityEmail confirmado em cs.huji.ac.il
Riccardo VolpiArsenale BioYardsEmail confirmado em arsenale.bio
Maxime CauchoisPhD Student, Stanford UniversityEmail confirmado em stanford.edu
Tushar ChandraGoogleEmail confirmado em google.com
Ryan RogersLinkedInEmail confirmado em linkedin.com
Sang Michael XieMeta GenAIEmail confirmado em cs.stanford.edu
Suyash GuptaLinkedIn, Stanford UniversityEmail confirmado em stanford.edu

Seguir

John Duchi

Associate Professor of Statistics and Electrical Engineering, Stanford University

Email confirmado em stanford.edu - Página inicial

Machine learning statistics optimization artificial intelligence


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Adaptive subgradient methods for online learning and stochastic optimization. J Duchi, E Hazan, Y Singer Journal of machine learning research 12 (7), 2011	14735	2011
Efficient projections onto the l₁-ball for learning in high dimensions J Duchi, S Shalev-Shwartz, Y Singer, T Chandra Proceedings of the 25th international conference on Machine learning, 272-279, 2008	1751	2008
Dual averaging for distributed optimization: Convergence analysis and network scaling JC Duchi, A Agarwal, MJ Wainwright IEEE Transactions on Automatic control 57 (3), 592-606, 2011	1437	2011
Local privacy and statistical minimax rates JC Duchi, MI Jordan, MJ Wainwright 2013 IEEE 54th annual symposium on foundations of computer science, 429-438, 2013	1435	2013
Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, R Volpi, J Duchi arXiv preprint arXiv:1710.10571, 2017	1196	2017
Generalizing to unseen domains via adversarial data augmentation R Volpi, H Namkoong, O Sener, JC Duchi, V Murino, S Savarese Advances in neural information processing systems 31, 2018	922	2018
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang Advances in neural information processing systems 32, 2019	836	2019
Efficient online and batch learning using forward backward splitting J Duchi, Y Singer The Journal of Machine Learning Research 10, 2899-2934, 2009	800	2009
Distributed delayed stochastic optimization A Agarwal, JC Duchi Advances in neural information processing systems 24, 2011	778	2011
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	670	2012
Optimal rates for zero-order convex optimization: The power of two function evaluations JC Duchi, MI Jordan, MJ Wainwright, A Wibisono IEEE Transactions on Information Theory 61 (5), 2788-2806, 2015	553	2015
Minimax optimal procedures for locally private estimation JC Duchi, MI Jordan, MJ Wainwright Journal of the American Statistical Association 113 (521), 182-201, 2018	493	2018
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	486	2013
Learning models with uniform performance via distributionally robust optimization JC Duchi, H Namkoong The Annals of Statistics 49 (3), 1378-1406, 2021	461	2021
Protection against reconstruction and its applications in private federated learning A Bhowmick, J Duchi, J Freudiger, G Kapoor, R Rogers arXiv preprint arXiv:1812.00984, 2018	448	2018
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	424	2010
Variance-based regularization with convex objectives J Duchi, H Namkoong Journal of Machine Learning Research 20 (68), 1-55, 2019	418	2019
Divide and conquer kernel ridge regression: A distributed algorithm with minimax optimal rates Y Zhang, J Duchi, M Wainwright The Journal of Machine Learning Research 16 (1), 3299-3340, 2015	412	2015
Statistics of robust optimization: A generalized empirical likelihood approach JC Duchi, PW Glynn, H Namkoong Mathematics of Operations Research 46 (3), 946-969, 2021	405	2021
Stochastic gradient methods for distributionally robust optimization with f-divergences H Namkoong, JC Duchi Advances in neural information processing systems 29, 2016	383	2016

O sistema não pode efectuar a operação agora. Tente mais tarde.

Artigos 1–20

Citações por ano

Citações duplicadas

Citações unidas

Adicionar coautoresCoautores

Seguir

Citado por

Coautores