John Duchi
John Duchi
Associate Professor of Statistics and Electrical Engineering, Stanford University
Verified email at - Homepage
Cited by
Cited by
Adaptive subgradient methods for online learning and stochastic optimization.
J Duchi, E Hazan, Y Singer
Journal of machine learning research 12 (7), 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
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
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
Certifying some distributional robustness with principled adversarial training
A Sinha, H Namkoong, R Volpi, J Duchi
arXiv preprint arXiv:1710.10571, 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
Efficient online and batch learning using forward backward splitting
J Duchi, Y Singer
The Journal of Machine Learning Research 10, 2899-2934, 2009
Distributed delayed stochastic optimization
A Agarwal, JC Duchi
Advances in neural information processing systems 24, 2011
Unlabeled data improves adversarial robustness
Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang
Advances in neural information processing systems 32, 2019
Communication-efficient algorithms for statistical optimization
Y Zhang, MJ Wainwright, JC Duchi
Advances in neural information processing systems 25, 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
MLbase: A Distributed Machine-learning System.
T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan
Cidr 1, 2-1, 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
Composite objective mirror descent.
JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari
COLT 10, 14-26, 2010
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
Learning models with uniform performance via distributionally robust optimization
JC Duchi, H Namkoong
The Annals of Statistics 49 (3), 1378-1406, 2021
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
Variance-based regularization with convex objectives
J Duchi, H Namkoong
Journal of Machine Learning Research 20 (68), 1-55, 2019
Statistics of robust optimization: A generalized empirical likelihood approach
JC Duchi, PW Glynn, H Namkoong
Mathematics of Operations Research 46 (3), 946-969, 2021
Accelerated methods for nonconvex optimization
Y Carmon, JC Duchi, O Hinder, A Sidford
SIAM Journal on Optimization 28 (2), 1751-1772, 2018
The system can't perform the operation now. Try again later.
Articles 1–20