John Duchi

Cited by

	All	Since 2017
Citations	25658	20617
h-index	57	49
i10-index	102	98

4800

2400

1200

3600

2009201020112012201320142015201620172018201920202021202267 154 182 341 509 793 1061 1695 2137 2889 3486 4334 4792 2955

Public access

View all

40 articles

0 articles

available

not available

Based on funding mandates

Co-authors

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 AgarwalGoogleVerified email at google.com
Yair CarmonTel Aviv UniversityVerified email at tauex.tau.ac.il
Aman SinhaStanford UniversityVerified email at stanford.edu
Feng RuanDepartment of EECS, University of California, BerkeleyVerified email at berkeley.edu
Yuchen ZhangPrincipal Researcher at MicrosoftVerified email at microsoft.com
Elad HazanProfessor at Princeton University and Director Google AI PrincetonVerified email at princeton.edu
Aaron SidfordStanford UniversityVerified email at stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Hilal AsiStanford UniversityVerified email at stanford.edu
Oliver HinderAssistant Professor, Industrial Engineering Department, University of PittsburghVerified email at pitt.edu
Aditi RaghunathanPhD Student, Stanford UniversityVerified email at stanford.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
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Adaptive subgradient methods for online learning and stochastic optimization. J Duchi, E Hazan, Y Singer Journal of machine learning research 12 (7), 2011	10622	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	1467	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	1172	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	906	2013
Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, R Volpi, J Duchi arXiv preprint arXiv:1710.10571, 2017	723	2017
Efficient online and batch learning using forward backward splitting J Duchi, Y Singer The Journal of Machine Learning Research 10, 2899-2934, 2009	696	2009
Distributed delayed stochastic optimization A Agarwal, JC Duchi Advances in neural information processing systems 24, 2011	609	2011
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	444	2012
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	432	2013
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang Advances in Neural Information Processing Systems 32, 2019	397	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	379	2018
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT 10, 14-26, 2010	350	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	327	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	278	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	267	2018
Accelerated methods for nonconvex optimization Y Carmon, JC Duchi, O Hinder, A Sidford SIAM Journal on Optimization 28 (2), 1751-1772, 2018	265	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	241	2013
Divide and conquer kernel ridge regression Y Zhang, J Duchi, M Wainwright Conference on learning theory, 592-617, 2013	232	2013
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	218	2018
Variance-based regularization with convex objectives J Duchi, H Namkoong The Journal of Machine Learning Research 20 (1), 2450-2504, 2019	214*	2019

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors