John C. Duchi

University of California, Berkeley, Department of Electrical Engineering and Computer Sciences

	2012
17		John C. Duchi, Lester W. Mackey, Michael I. Jordan: The Asymptotics of Ranking Algorithms CoRR abs/1204.1688: (2012)
16		John C. Duchi, Alekh Agarwal, Martin J. Wainwright: Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling. IEEE Trans. Automat. Contr. 57(3): 592-606 (2012)
	2011
15		Alekh Agarwal, John C. Duchi: Distributed Delayed Stochastic Optimization. NIPS 2011: 873-881
14		Alekh Agarwal, John C. Duchi: The Generalization Ability of Online Algorithms for Dependent Data CoRR abs/1110.2529: (2011)
13		John C. Duchi, Elad Hazan, Yoram Singer: Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. Journal of Machine Learning Research 12: 2121-2159 (2011)
12		Alekh Agarwal, John C. Duchi, Peter L. Bartlett, Clement Levrard: Oracle inequalities for computationally budgeted model selection. Journal of Machine Learning Research - Proceedings Track 19: 69-86 (2011)
	2010
11		John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Ambuj Tewari: Composite Objective Mirror Descent. COLT 2010: 14-26
10		John C. Duchi, Elad Hazan, Yoram Singer: Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. COLT 2010: 257-269
9		John C. Duchi, Lester W. Mackey, Michael I. Jordan: On the Consistency of Ranking Algorithms. ICML 2010: 327-334
8		John C. Duchi, Alekh Agarwal, Martin J. Wainwright: Distributed Dual Averaging In Networks. NIPS 2010: 550-558
	2009
7		John C. Duchi, Yoram Singer: Boosting with structural sparsity. ICML 2009: 38
6		John C. Duchi, Yoram Singer: Efficient Learning using Forward-Backward Splitting. NIPS 2009: 495-503
5		John C. Duchi, Yoram Singer: Efficient Online and Batch Learning Using Forward Backward Splitting. Journal of Machine Learning Research 10: 2899-2934 (2009)
	2008
4		John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Tushar Chandra: Efficient projections onto the l1-ball for learning in high dimensions. ICML 2008: 272-279
3		John C. Duchi, Stephen Gould, Daphne Koller: Projected Subgradient Methods for Learning Sparse Gaussians. UAI 2008: 145-152
2		Varun Ganapathi, David Vickrey, John C. Duchi, Daphne Koller: Constrained Approximate Maximum Entropy Learning of Markov Random Fields. UAI 2008: 196-203
	2006
1		John C. Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller: Using Combinatorial Optimization within Max-Product Belief Propagation. NIPS 2006: 369-376

Coauthor Index

1	Alekh Agarwal	[8] [12] [14] [15] [16]
2	Peter L. Bartlett	[12]
3	Tushar Chandra	[4]
4	Gal Elidan	[1]
5	Varun Ganapathi	[2]
6	Stephen Gould	[3]
7	Elad Hazan	[10] [13]
8	Michael I. Jordan	[9] [17]
9	Daphne Koller	[1] [2] [3]
10	Clement Levrard	[12]
11	Lester W. Mackey	[9] [17]
12	Shai Shalev-Shwartz	[4] [11]
13	Yoram Singer	[4] [5] [6] [7] [10] [11] [13]
14	Daniel Tarlow	[1]
15	Ambuj Tewari	[11]
16	David Vickrey	[2]
17	Martin J. Wainwright	[8] [16]

Last update Tue May 29 20:41:18 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page