John Duchi
John Duchi
Assistant Professor of Statistics and Electrical Engineering, Stanford University
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Citata da
Citata da
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
Efficient online and batch learning using forward backward splitting
J Duchi, Y Singer
The Journal of Machine Learning Research 10, 2899-2934, 2009
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
Distributed delayed stochastic optimization
A Agarwal, JC Duchi
Advances in neural information processing systems, 873-881, 2011
Certifying some distributional robustness with principled adversarial training
A Sinha, H Namkoong, R Volpi, J Duchi
arXiv preprint arXiv:1710.10571, 2017
MLbase: A Distributed Machine-learning System.
T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan
Cidr 1, 2-1, 2013
Communication-efficient algorithms for statistical optimization
Y Zhang, JC Duchi, MJ Wainwright
The Journal of Machine Learning Research 14 (1), 3321-3363, 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
Divide and conquer kernel ridge regression
Y Zhang, J Duchi, M Wainwright
Conference on learning theory, 592-617, 2013
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, 2328-2336, 2013
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
Projected subgradient methods for learning sparse gaussians
J Duchi, S Gould, D Koller
arXiv preprint arXiv:1206.3249, 2012
Minimax optimal procedures for locally private estimation
JC Duchi, MI Jordan, MJ Wainwright
Journal of the American Statistical Association 113 (521), 182-201, 2018
Privacy aware learning
JC Duchi, MI Jordan, MJ Wainwright
Journal of the ACM (JACM) 61 (6), 1-57, 2014
Randomized smoothing for stochastic optimization
JC Duchi, PL Bartlett, MJ Wainwright
SIAM Journal on Optimization 22 (2), 674-701, 2012
Variance-based Regularization with Convex Objectives.
JC Duchi, H Namkoong
J. Mach. Learn. Res. 20, 68:1-68:55, 2019
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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