John Duchi

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	总计	2017 年至今
引用	24254	19210
h 指数	54	48
i10 指数	94	90

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Martin WainwrightProfessor of EECS and Statistics, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Hongseok NamkoongColumbia University在 columbia.edu 的电子邮件经过验证
Alekh AgarwalGoogle在 google.com 的电子邮件经过验证
Yair CarmonTel Aviv University在 tauex.tau.ac.il 的电子邮件经过验证
Aman SinhaStanford University在 stanford.edu 的电子邮件经过验证
Feng RuanDepartment of EECS, University of California, Berkeley在 berkeley.edu 的电子邮件经过验证
Yuchen ZhangPrincipal Researcher at Microsoft在 microsoft.com 的电子邮件经过验证
Elad HazanProfessor at Princeton University and Director Google AI Princeton在 cs.princeton.edu 的电子邮件经过验证
Aaron SidfordStanford University在 stanford.edu 的电子邮件经过验证
Percy LiangAssociate Professor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Oliver HinderAssistant Professor, Industrial Engineering Department, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
Aditi RaghunathanPhD Student, Stanford University在 stanford.edu 的电子邮件经过验证
Hilal AsiStanford University在 stanford.edu 的电子邮件经过验证
Shai Shalev-ShwartzThe Hebrew University在 cs.huji.ac.il 的电子邮件经过验证
Tushar ChandraGoogle在 google.com 的电子邮件经过验证
Riccardo VolpiNaver Labs Europe在 naverlabs.com 的电子邮件经过验证
Peter BartlettProfessor, EECS and Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
Ryan RogersLinkedIn在 linkedin.com 的电子邮件经过验证
Andre WibisonoAssistant Professor at Yale University在 yale.edu 的电子邮件经过验证

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John Duchi

Associate Professor of Statistics and Electrical Engineering, Stanford University

在 stanford.edu 的电子邮件经过验证 - 首页

Machine learning statistics optimization artificial intelligence


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Adaptive subgradient methods for online learning and stochastic optimization. J Duchi, E Hazan, Y Singer Journal of machine learning research 12 (7), 2011	10139	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	1430	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	1138	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	841	2013
Efficient online and batch learning using forward backward splitting J Duchi, Y Singer The Journal of Machine Learning Research 10, 2899-2934, 2009	688	2009
Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, R Volpi, J Duchi arXiv preprint arXiv:1710.10571, 2017	662	2017
Distributed delayed stochastic optimization A Agarwal, JC Duchi Advances in neural information processing systems 24, 2011	585	2011
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	422	2012
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	419	2013
Composite Objective Mirror Descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT 10, 14-26, 2010	342	2010
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang Advances in Neural Information Processing Systems 32, 2019	336	2019
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	324	2018
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	314	2015
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	262	2015
Accelerated methods for nonconvex optimization Y Carmon, JC Duchi, O Hinder, A Sidford SIAM Journal on Optimization 28 (2), 1751-1772, 2018	258	2018
Minimax optimal procedures for locally private estimation JC Duchi, MI Jordan, MJ Wainwright Journal of the American Statistical Association 113 (521), 182-201, 2018	252	2018
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	235	2013
Divide and conquer kernel ridge regression Y Zhang, J Duchi, M Wainwright Conference on learning theory, 592-617, 2013	230	2013
Variance-based regularization with convex objectives J Duchi, H Namkoong The Journal of Machine Learning Research 20 (1), 2450-2504, 2019	221*	2019
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	192	2018

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