John Duchi

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Martin WainwrightProfessor of EECS and Statistics, UC BerkeleyVerified email at berkeley.edu
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
Alekh AgarwalMicrosoft ResearchVerified email at microsoft.com
Yair CarmonTel Aviv UniversityVerified email at tauex.tau.ac.il
Aman SinhaStanford UniversityVerified email at stanford.edu
Yuchen ZhangPrincipal Researcher at MicrosoftVerified email at microsoft.com
Aaron SidfordStanford UniversityVerified email at stanford.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at cs.princeton.edu
Feng RuanDepartment of EECS, University of California, BerkeleyVerified email at berkeley.edu
Oliver HinderAssistant Professor, Industrial Engineering Department, University of PittsburghVerified email at pitt.edu
Shai Shalev-ShwartzThe Hebrew UniversityVerified email at cs.huji.ac.il
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Aditi RaghunathanPhD Student, Stanford UniversityVerified email at stanford.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Tushar ChandraGoogleVerified email at google.com
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Riccardo VolpiNaver Labs EuropeVerified email at naverlabs.com
Ameet TalwalkarCMU and Determined AIVerified email at cmu.edu
Michael FranklinLiew Family Chair of Computer Science, University of ChicagoVerified email at uchicago.edu

John Duchi

Assistant 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	8293	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	1319	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	1035	2011
Efficient online and batch learning using forward backward splitting J Duchi, Y Singer The Journal of Machine Learning Research 10, 2899-2934, 2009	663	2009
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	656	2013
Distributed delayed stochastic optimization A Agarwal, JC Duchi 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5451-5452, 2012	530	2012
Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, R Volpi, J Duchi arXiv preprint arXiv:1710.10571, 2017	477	2017
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	377	2013
Communication-efficient algorithms for statistical optimization Y Zhang, JC Duchi, MJ Wainwright The Journal of Machine Learning Research 14 (1), 3321-3363, 2013	365	2013
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT, 14-26, 2010	319	2010
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	261	2015
Accelerated methods for nonconvex optimization Y Carmon, JC Duchi, O Hinder, A Sidford SIAM Journal on Optimization 28 (2), 1751-1772, 2018	228	2018
Divide and conquer kernel ridge regression Y Zhang, J Duchi, M Wainwright Conference on learning theory, 592-617, 2013	205	2013
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	193	2015
Information-theoretic lower bounds for distributed statistical estimation with communication constraints. Y Zhang, JC Duchi, MI Jordan, MJ Wainwright NIPS, 2328-2336, 2013	184	2013
Minimax optimal procedures for locally private estimation JC Duchi, MI Jordan, MJ Wainwright Journal of the American Statistical Association 113 (521), 182-201, 2018	167	2018
Projected subgradient methods for learning sparse gaussians J Duchi, S Gould, D Koller arXiv preprint arXiv:1206.3249, 2012	163	2012
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, P Liang, JC Duchi arXiv preprint arXiv:1905.13736, 2019	158	2019
Randomized smoothing for stochastic optimization JC Duchi, PL Bartlett, MJ Wainwright SIAM Journal on Optimization 22 (2), 674-701, 2012	155	2012
Privacy aware learning JC Duchi, MI Jordan, MJ Wainwright Journal of the ACM (JACM) 61 (6), 1-57, 2014	152	2014

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