John Duchi

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
Hongseok NamkoongColumbia UniversityPreverjeni e-poštni naslov na columbia.edu
Yair CarmonTel Aviv UniversityPreverjeni e-poštni naslov na tauex.tau.ac.il
Alekh AgarwalGooglePreverjeni e-poštni naslov na google.com
Feng RuanDepartment of EECS, University of California, BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Aman SinhaStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Aaron SidfordStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Hilal AsiApple ML ResearchPreverjeni e-poštni naslov na apple.com
Yuchen ZhangResearch Scientist at ByteDancePreverjeni e-poštni naslov na microsoft.com
Oliver HinderAssistant Professor, Industrial Engineering Department, University of PittsburghPreverjeni e-poštni naslov na pitt.edu
Elad HazanProfessor at Princeton University and Director Google AI PrincetonPreverjeni e-poštni naslov na princeton.edu
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityPreverjeni e-poštni naslov na cmu.edu
Shai Shalev-ShwartzThe Hebrew UniversityPreverjeni e-poštni naslov na cs.huji.ac.il
Riccardo VolpiArsenale BioYardsPreverjeni e-poštni naslov na arsenale.bio
Maxime CauchoisPhD Student, Stanford UniversityPreverjeni e-poštni naslov na stanford.edu
Tushar ChandraGooglePreverjeni e-poštni naslov na google.com
Ryan RogersLinkedInPreverjeni e-poštni naslov na linkedin.com
Sang Michael XiePhD Candidate, Stanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu

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John Duchi

Associate Professor of Statistics and Electrical Engineering, Stanford University

Preverjeni e-poštni naslov na stanford.edu - Domača stran

Machine learning statistics optimization artificial intelligence


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Adaptive subgradient methods for online learning and stochastic optimization. J Duchi, E Hazan, Y Singer Journal of machine learning research 12 (7), 2011	14542	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	1746	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	1425	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	1411	2013
Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, R Volpi, J Duchi arXiv preprint arXiv:1710.10571, 2017	1181	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	901	2018
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang Advances in neural information processing systems 32, 2019	820	2019
Efficient online and batch learning using forward backward splitting J Duchi, Y Singer The Journal of Machine Learning Research 10, 2899-2934, 2009	797	2009
Distributed delayed stochastic optimization A Agarwal, JC Duchi Advances in neural information processing systems 24, 2011	774	2011
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	659	2012
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	544	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	486	2018
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	485	2013
Learning models with uniform performance via distributionally robust optimization JC Duchi, H Namkoong The Annals of Statistics 49 (3), 1378-1406, 2021	450	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	444	2018
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari Colt 10, 14-26, 2010	422	2010
Variance-based regularization with convex objectives J Duchi, H Namkoong Journal of Machine Learning Research 20 (68), 1-55, 2019	408	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	407	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	395	2021
Stochastic gradient methods for distributionally robust optimization with f-divergences H Namkoong, JC Duchi Advances in neural information processing systems 29, 2016	373	2016

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