Larry A. Wasserman

2009
11	EE	Shuheng Zhou, John D. Lafferty, Larry A. Wasserman: Compressed and Privacy-Sensitive Sparse Regression. IEEE Transactions on Information Theory 55(2): 846-866 (2009)
2008
10	EE	Shuheng Zhou, John D. Lafferty, Larry A. Wasserman: Time Varying Undirected Graphs. COLT 2008: 455-466
2007
9	EE	Shuheng Zhou, John D. Lafferty, Larry A. Wasserman: Compressed Regression. NIPS 2007
8	EE	Pradeep D. Ravikumar, Han Liu, John D. Lafferty, Larry A. Wasserman: SpAM: Sparse Additive Models. NIPS 2007
7	EE	John D. Lafferty, Larry A. Wasserman: Statistical Analysis of Semi-Supervised Regression. NIPS 2007
6	EE	Shuheng Zhou, John D. Lafferty, Larry A. Wasserman: Compressed Regression CoRR abs/0706.0534: (2007)
2005
5	EE	Brent Bryan, Jeff G. Schneider, Robert Nichol, Christopher Miller, Christopher Genovese, Larry A. Wasserman: Active Learning For Identifying Function Threshold Boundaries. NIPS 2005
4	EE	John D. Lafferty, Larry A. Wasserman: Rodeo: Sparse Nonparametric Regression in High Dimensions. NIPS 2005
2001
3	EE	John D. Lafferty, Larry A. Wasserman: Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk. UAI 2001: 293-300
1999
2		Sebastian Thrun, Christos Faloutsos, Tom M. Mitchell, Larry A. Wasserman: Automated Learning and Discovery Stat-Of-The-Art and Research Topics in a Rapidly Growing Field. AI Magazine 20(3): 78-82 (1999)
1997
1	EE	James M. Robins, Larry A. Wasserman: Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs. UAI 1997: 409-420

Coauthor Index

1	Brent Bryan	[5]
2	Christos Faloutsos	[2]
3	Christopher Genovese	[5]
4	John D. Lafferty	[3] [4] [6] [7] [8] [9] [10] [11]
5	Han Liu	[8]
6	Christopher Miller	[5]
7	Tom M. Mitchell	[2]
8	Robert Nichol	[5]
9	Pradeep D. Ravikumar	[8]
10	James M. Robins	[1]
11	Jeff G. Schneider	[5]
12	Sebastian Thrun	[2]
13	Shuheng Zhou	[6] [9] [10] [11]

Colors in the list of coauthors