引用次数
引用: 15,207
H-指数: 58
I10-指数 : 117
出版物: 282
Streaming Feature Selection using IIC.
Dean P. Foster , Lyle H. Ungar , Jing Zhou , Bob A. Stine
international conference on artificial intelligence and statistics
17
2005
Feature Selection using Multiple Streams
Paramveer S. Dhillon , Dean P. Foster , Lyle H. Ungar
international conference on artificial intelligence and statistics 153 -160
6
2010
Unsupervised Distance Metric Learning Using Predictability
Dean P. Foster , Lyle H. Ungar , Abhishek A. Gupta
1
2008
A risk comparison of ordinary least squares vs ridge regression
Sham M. Kakade , Paramveer S. Dhillon , Dean P. Foster , Lyle H. Ungar
Journal of Machine Learning Research 14 ( 1) 1505 -1511
50
2013
Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation
Sham M. Kakade , Animashree Anandkumar , Dean P. Foster , Daniel J. Hsu
neural information processing systems
8
2012
An Information Theoretic Comparison of Model Selection Criteria
Robert A. Stine , Dean P. Foster
Research Papers in Economics
7
1997
A Markov Test for Alpha.
Robert Stine , H. Peyton Young , Dean P. Foster
Research Papers in Economics 568
2011
Calibration, Expected Utility and Local Optimality
Rakesh V. Vohra , Dean P. Foster
Research Papers in Economics
1
1999
Clustering Methods for Collaborative Filtering
Dean P. Foster , Lyle H. Ungar
national conference on artificial intelligence
1,154
1998
Variable Selection is Hard
Howard J. Karloff , Justin Thaler , Dean P. Foster
conference on learning theory 696 -709
23
2015
The hedge fund game
H. Peyton Young , Dean P. Foster
Research Papers in Economics
6
2008
Spectral Learning of Latent-Variable PCFGs
Karl Stratos , Shay B. Cohen , Dean P. Foster , Lyle Ungar
meeting of the association for computational linguistics 1 223 -231
8
2012
Domain Adaptation with Coupled Subspaces
Sham M. Kakade , John Blitzer , Dean P. Foster
international conference on artificial intelligence and statistics 15 173 -181
104
2011
Two Step CCA: A new spectral method for estimating vector models of words
Paramveer Dhillon , Dean P. Foster , Lyle H. Ungar , Jordan Rodu
international conference on machine learning 67 -74
78
2012
Regret Testing: Learning to Play Nash Equilibrium Without Knowing You Have an Opponent
H. Peyton Young , Dean P. Foster
Theoretical Economics 1 ( 3) 341 -367
112
2006
Experiments with Spectral Learning of Latent-Variable PCFGs
Karl Stratos , Shay B. Cohen , Dean P. Foster , Lyle Ungar
north american chapter of the association for computational linguistics 148 -157
81
2013
The Hedge Fund Game: Incentives, Excess Returns, and Piggy-Backing
H. Peyton Young , Dean P. Foster
6
2008
Polyshrink: An Adaptive Variable Selection Procedure That Is Competitive with Bayes Experts
Robert A. Stine , Dean P. Foster
2
2005
Worst-Case Bounds for Gaussian Process Models
Sham M. Kakade , Matthias W. Seeger , Dean P. Foster
neural information processing systems 18 619 -626
21
2005
Spectral learning of latent-variable PCFGs: algorithms and sample complexity
Karl Stratos , Shay B. Cohen , Dean P. Foster , Lyle Ungar
Journal of Machine Learning Research 15 ( 1) 2399 -2449
38
2014