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
Aman SinhaStanford UniversityVerified email at stanford.edu
Feng RuanDepartment of EECS, University of California, BerkeleyVerified email at berkeley.edu
Aaron SidfordStanford UniversityVerified email at stanford.edu
Yuchen ZhangResearch Scientist at ByteDanceVerified email at microsoft.com
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Oliver HinderAssistant Professor, Industrial Engineering Department, University of PittsburghVerified email at pitt.edu
Hilal AsiStanford UniversityVerified email at stanford.edu
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityVerified email at cmu.edu
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Tushar ChandraGoogleVerified email at google.com
Riccardo VolpiNaver Labs EuropeVerified email at naverlabs.com
Ryan RogersLinkedInVerified email at linkedin.com
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Maxime CauchoisPhD Student, Stanford UniversityVerified email at stanford.edu
Andre WibisonoAssistant Professor at Yale UniversityVerified email at yale.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	12011	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	1556	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	1261	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	1074	2013
Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, R Volpi, J Duchi arXiv preprint arXiv:1710.10571, 2017	789	2017
Efficient online and batch learning using forward backward splitting J Duchi, Y Singer The Journal of Machine Learning Research 10, 2899-2934, 2009	734	2009
Distributed delayed stochastic optimization A Agarwal, JC Duchi Advances in neural information processing systems 24, 2011	679	2011
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	577	2018
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang Advances in neural information processing systems 32, 2019	557	2019
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	520	2012
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	454	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	386	2015
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT 10, 14-26, 2010	379	2010
Minimax optimal procedures for locally private estimation JC Duchi, MI Jordan, MJ Wainwright Journal of the American Statistical Association 113 (521), 182-201, 2018	329	2018
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	323	2015
Accelerated methods for nonconvex optimization Y Carmon, JC Duchi, O Hinder, A Sidford SIAM Journal on Optimization 28 (2), 1751-1772, 2018	295	2018
Variance-based regularization with convex objectives H Namkoong, JC Duchi Advances in neural information processing systems 30, 2017	284*	2017
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	282	2018
Stochastic gradient methods for distributionally robust optimization with f-divergences H Namkoong, JC Duchi Advances in neural information processing systems 29, 2016	262	2016
Information-theoretic lower bounds for distributed statistical estimation with communication constraints Y Zhang, J Duchi, MI Jordan, MJ Wainwright Advances in Neural Information Processing Systems 26, 2013	261	2013

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