John Duchi

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Hongseok NamkoongColumbia UniversityAdresă de e-mail confirmată pe columbia.edu
Yair CarmonTel Aviv UniversityAdresă de e-mail confirmată pe tauex.tau.ac.il
Alekh AgarwalGoogleAdresă de e-mail confirmată pe google.com
Aman SinhaStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Feng RuanDepartment of EECS, University of California, BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Aaron SidfordStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Yuchen ZhangPrincipal Researcher at MicrosoftAdresă de e-mail confirmată pe microsoft.com
Elad HazanProfessor at Princeton University and Director Google AI PrincetonAdresă de e-mail confirmată pe princeton.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityAdresă de e-mail confirmată pe cs.stanford.edu
Oliver HinderAssistant Professor, Industrial Engineering Department, University of PittsburghAdresă de e-mail confirmată pe pitt.edu
Hilal AsiStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Aditi RaghunathanAssistant professor, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cmu.edu
Shai Shalev-ShwartzThe Hebrew UniversityAdresă de e-mail confirmată pe cs.huji.ac.il
Tushar ChandraGoogleAdresă de e-mail confirmată pe google.com
Riccardo VolpiNaver Labs EuropeAdresă de e-mail confirmată pe naverlabs.com
Ryan RogersLinkedInAdresă de e-mail confirmată pe linkedin.com
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Maxime CauchoisPhD Student, Stanford UniversityAdresă de e-mail confirmată pe stanford.edu
Andre WibisonoAssistant Professor at Yale UniversityAdresă de e-mail confirmată pe yale.edu

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John Duchi

Associate Professor of Statistics and Electrical Engineering, Stanford University

Adresă de e-mail confirmată pe stanford.edu - Pagina de pornire

Machine learning statistics optimization artificial intelligence


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Adaptive subgradient methods for online learning and stochastic optimization. J Duchi, E Hazan, Y Singer Journal of machine learning research 12 (7), 2011	11694	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	1537	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	1248	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	1036	2013
Certifying some distributional robustness with principled adversarial training A Sinha, H Namkoong, R Volpi, J Duchi arXiv preprint arXiv:1710.10571, 2017	762	2017
Efficient online and batch learning using forward backward splitting J Duchi, Y Singer The Journal of Machine Learning Research 10, 2899-2934, 2009	728	2009
Distributed delayed stochastic optimization A Agarwal, JC Duchi Advances in neural information processing systems 24, 2011	659	2011
Unlabeled data improves adversarial robustness Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang Advances in neural information processing systems 32, 2019	528	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	528	2018
Communication-efficient algorithms for statistical optimization Y Zhang, MJ Wainwright, JC Duchi Advances in neural information processing systems 25, 2012	501	2012
MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013	451	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	374	2015
Composite objective mirror descent. JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari COLT 10, 14-26, 2010	372	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	315	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	314	2015
Accelerated methods for nonconvex optimization Y Carmon, JC Duchi, O Hinder, A Sidford SIAM Journal on Optimization 28 (2), 1751-1772, 2018	291	2018
Variance-based regularization with convex objectives H Namkoong, JC Duchi Advances in neural information processing systems 30, 2017	275*	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	274	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	258	2013
Stochastic gradient methods for distributionally robust optimization with f-divergences H Namkoong, JC Duchi Advances in neural information processing systems 29, 2016	250	2016

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