John Duchi

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Hongseok NamkoongColumbia UniversityVerified email at columbia.edu
Yair CarmonTel Aviv UniversityVerified email at tauex.tau.ac.il
Alekh AgarwalGoogleVerified email at google.com
Feng RuanDepartment of EECS, University of California, BerkeleyVerified email at berkeley.edu
Aman SinhaStanford UniversityVerified email at stanford.edu
Aaron SidfordStanford UniversityVerified email at stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Hilal AsiAppleVerified email at apple.com
Yuchen ZhangResearch Scientist at ByteDanceVerified email at microsoft.com
Oliver HinderAssistant Professor, Industrial Engineering Department, University of PittsburghVerified email at pitt.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityVerified email at cmu.edu
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Riccardo VolpiArsenale BioYardsVerified email at arsenale.bio
Maxime CauchoisPhD Student, Stanford UniversityVerified email at stanford.edu
Tushar ChandraGoogleVerified email at google.com
Ryan RogersLinkedInVerified email at linkedin.com
Sang Michael XieMeta GenAIVerified email at cs.stanford.edu
Suyash GuptaLinkedIn, Stanford UniversityVerified email at stanford.edu

John Duchi

Associate Professor of Statistics and Electrical Engineering, Stanford University

Verified email at stanford.edu - Homepage

Machine learning statistics optimization artificial intelligence


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Adaptive subgradient methods for online learning and stochastic optimization. J Duchi, E Hazan, Y Singer Journal of machine learning research 12 (7), 2011	14891	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	1762	2008
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	1466	2013
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	1446	2011
Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, R Volpi, J Duchi arXiv preprint arXiv:1710.10571, 2017	1202	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	940	2018
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang Advances in neural information processing systems 32, 2019	845	2019
Efficient online and batch learning using forward backward splitting J Duchi, Y Singer The Journal of Machine Learning Research 10, 2899-2934, 2009	806	2009
Distributed delayed stochastic optimization A Agarwal, JC Duchi Advances in neural information processing systems 24, 2011	782	2011
Communication-efficient algorithms for statistical optimization Y Zhang, JC Duchi, MJ Wainwright The Journal of Machine Learning Research 14 (1), 3321-3363, 2013	677	2013
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	568	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	503	2018
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	489	2013
Learning models with uniform performance via distributionally robust optimization JC Duchi, H Namkoong The Annals of Statistics 49 (3), 1378-1406, 2021	471	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	452	2018
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	425	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	416	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	406	2021
Stochastic gradient methods for distributionally robust optimization with f-divergences H Namkoong, JC Duchi Advances in neural information processing systems 29, 2016	385	2016

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