| 2009 |
12 | | 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 |
11 | | Shuheng Zhou,
John D. Lafferty,
Larry A. Wasserman:
Time Varying Undirected Graphs.
COLT 2008: 455-466 |
10 | | Han Liu,
John D. Lafferty,
Larry A. Wasserman:
Nonparametric regression and classification with joint sparsity constraints.
NIPS 2008: 969-976 |
| 2007 |
9 | | Shuheng Zhou,
John D. Lafferty,
Larry A. Wasserman:
Compressed Regression.
NIPS 2007 |
8 | | Pradeep D. Ravikumar,
Han Liu,
John D. Lafferty,
Larry A. Wasserman:
SpAM: Sparse Additive Models.
NIPS 2007 |
7 | | John D. Lafferty,
Larry A. Wasserman:
Statistical Analysis of Semi-Supervised Regression.
NIPS 2007 |
6 | | Shuheng Zhou,
John D. Lafferty,
Larry A. Wasserman:
Compressed Regression
CoRR abs/0706.0534: (2007) |
| 2005 |
5 | | Brent Bryan,
Jeff G. Schneider,
Robert Nichol,
Christopher Miller,
Christopher Genovese,
Larry A. Wasserman:
Active Learning For Identifying Function Threshold Boundaries.
NIPS 2005 |
4 | | John D. Lafferty,
Larry A. Wasserman:
Rodeo: Sparse Nonparametric Regression in High Dimensions.
NIPS 2005 |
| 2001 |
3 | | 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 | | James M. Robins,
Larry A. Wasserman:
Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs.
UAI 1997: 409-420 |