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John Duchi
John Duchi
Associate Professor of Statistics and Electrical Engineering, Stanford University
Zweryfikowany adres z stanford.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Adaptive subgradient methods for online learning and stochastic optimization.
J Duchi, E Hazan, Y Singer
Journal of machine learning research 12 (7), 2011
126052011
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
15962008
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
12952011
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
11462013
Certifying some distributional robustness with principled adversarial training
A Sinha, H Namkoong, R Volpi, J Duchi
arXiv preprint arXiv:1710.10571, 2017
9542017
Efficient online and batch learning using forward backward splitting
J Duchi, Y Singer
The Journal of Machine Learning Research 10, 2899-2934, 2009
7462009
Distributed delayed stochastic optimization
A Agarwal, JC Duchi
Advances in neural information processing systems 24, 2011
7082011
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
6392018
Unlabeled data improves adversarial robustness
Y Carmon, A Raghunathan, L Schmidt, JC Duchi, PS Liang
Advances in neural information processing systems 32, 2019
6142019
Communication-efficient algorithms for statistical optimization
Y Zhang, MJ Wainwright, JC Duchi
Advances in neural information processing systems 25, 2012
5452012
MLbase: A Distributed Machine-learning System.
T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan
Cidr 1, 2-1, 2013
4632013
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
4222015
Composite objective mirror descent.
JC Duchi, S Shalev-Shwartz, Y Singer, A Tewari
COLT 10, 14-26, 2010
3882010
Minimax optimal procedures for locally private estimation
JC Duchi, MI Jordan, MJ Wainwright
Journal of the American Statistical Association 113 (521), 182-201, 2018
3612018
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
3472015
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
3232018
Variance-based regularization with convex objectives
H Namkoong, JC Duchi
Advances in neural information processing systems 30, 2017
313*2017
Accelerated methods for nonconvex optimization
Y Carmon, JC Duchi, O Hinder, A Sidford
SIAM Journal on Optimization 28 (2), 1751-1772, 2018
3052018
Learning models with uniform performance via distributionally robust optimization
J Duchi, H Namkoong
arXiv preprint arXiv:1810.08750, 2018
2862018
Stochastic gradient methods for distributionally robust optimization with f-divergences
H Namkoong, JC Duchi
Advances in neural information processing systems 29, 2016
2832016
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