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Greedy algorithms for prediction

Greedy algorithms for prediction

5 February 2016
Alessio Sancetta
    AI4TS
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Papers citing "Greedy algorithms for prediction"

17 / 17 papers shown
Title
On the uniform convergence of empirical norms and inner products, with
  application to causal inference
On the uniform convergence of empirical norms and inner products, with application to causal inference
Sara van de Geer
89
37
0
21 Oct 2013
AdaBoost and Forward Stagewise Regression are First-Order Convex
  Optimization Methods
AdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods
R. Freund
Paul Grigas
Rahul Mazumder
47
13
0
04 Jul 2013
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
177
1,130
0
03 Mar 2013
Confidence sets in sparse regression
Confidence sets in sparse regression
Richard Nickl
Sara van de Geer
100
111
0
07 Sep 2012
Statistical significance in high-dimensional linear models
Statistical significance in high-dimensional linear models
Peter Buhlmann
162
229
0
07 Feb 2012
Degrees of freedom in lasso problems
Degrees of freedom in lasso problems
Robert Tibshirani
Jonathan E. Taylor
103
363
0
02 Nov 2011
High-dimensional regression with noisy and missing data: Provable
  guarantees with nonconvexity
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity
Po-Ling Loh
Martin J. Wainwright
106
561
0
16 Sep 2011
Sparse Models and Methods for Optimal Instruments with an Application to
  Eminent Domain
Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain
A. Belloni
Daniel L. Chen
Victor Chernozhukov
Christian B. Hansen
168
561
0
21 Oct 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
309
3,557
0
25 Feb 2010
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
241
731
0
05 Oct 2009
L1-Penalized Quantile Regression in High-Dimensional Sparse Models
L1-Penalized Quantile Regression in High-Dimensional Sparse Models
A. Belloni
Victor Chernozhukov
168
457
0
19 Apr 2009
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
526
755
0
04 Apr 2008
Approximation and learning by greedy algorithms
Approximation and learning by greedy algorithms
Andrew R. Barron
A. Cohen
W. Dahmen
Ronald A. DeVore
228
323
0
12 Mar 2008
On the "degrees of freedom" of the lasso
On the "degrees of freedom" of the lasso
H. Zou
Trevor Hastie
Robert Tibshirani
272
1,041
0
06 Dec 2007
Aggregation for Gaussian regression
Aggregation for Gaussian regression
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
408
362
0
19 Oct 2007
Pathwise coordinate optimization
Pathwise coordinate optimization
J. Friedman
Trevor Hastie
Holger Hofling
Robert Tibshirani
235
2,053
0
10 Aug 2007
Sparsity oracle inequalities for the Lasso
Sparsity oracle inequalities for the Lasso
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
464
472
0
23 May 2007
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