John Duchi
John Duchi
Assistant 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
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
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5451-5452, 2012
Certifying some distributional robustness with principled adversarial training
A Sinha, H Namkoong, R Volpi, J Duchi
arXiv preprint arXiv:1710.10571, 2017
Communication-efficient algorithms for statistical optimization
Y Zhang, JC Duchi, MJ Wainwright
The Journal of Machine Learning Research 14 (1), 3321-3363, 2013
MLbase: A Distributed Machine-learning System.
T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan
Cidr 1, 2-1, 2013
Composite Objective Mirror Descent.
JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari
COLT, 14-26, 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
Accelerated methods for nonconvex optimization
Y Carmon, JC Duchi, O Hinder, A Sidford
SIAM Journal on Optimization 28 (2), 1751-1772, 2018
Generalizing to unseen domains via adversarial data augmentation
R Volpi, H Namkoong, O Sener, J Duchi, V Murino, S Savarese
arXiv preprint arXiv:1805.12018, 2018
Unlabeled data improves adversarial robustness
Y Carmon, A Raghunathan, L Schmidt, P Liang, JC Duchi
arXiv preprint arXiv:1905.13736, 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
Divide and conquer kernel ridge regression
Y Zhang, J Duchi, M Wainwright
Conference on learning theory, 592-617, 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
Information-theoretic lower bounds for distributed statistical estimation with communication constraints.
Y Zhang, JC Duchi, MI Jordan, MJ Wainwright
NIPS, 2328-2336, 2013
Variance-based regularization with convex objectives
J Duchi, H Namkoong
The Journal of Machine Learning Research 20 (1), 2450-2504, 2019
Randomized smoothing for stochastic optimization
JC Duchi, PL Bartlett, MJ Wainwright
SIAM Journal on Optimization 22 (2), 674-701, 2012
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