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Sparsity regret bounds for individual sequences in online linear
  regression

Sparsity regret bounds for individual sequences in online linear regression

5 January 2011
Sébastien Gerchinovitz
ArXivPDFHTML

Papers citing "Sparsity regret bounds for individual sequences in online linear regression"

20 / 20 papers shown
Title
Relative Loss Bounds for On-line Density Estimation with the Exponential
  Family of Distributions
Relative Loss Bounds for On-line Density Estimation with the Exponential Family of Distributions
Katy S. Azoury
Manfred K. Warmuth
111
323
0
23 Jan 2013
Nuclear norm penalization and optimal rates for noisy low rank matrix
  completion
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
172
663
0
29 Nov 2010
Pac-bayesian bounds for sparse regression estimation with exponential
  weights
Pac-bayesian bounds for sparse regression estimation with exponential weights
Pierre Alquier
Karim Lounici
98
72
0
14 Sep 2010
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Nicolas Verzélen
230
152
0
03 Aug 2010
An l1-Oracle Inequality for the Lasso
An l1-Oracle Inequality for the Lasso
P. Massart
C. Meynet
130
20
0
27 Jul 2010
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
239
382
0
11 Jul 2010
Exponential Screening and optimal rates of sparse estimation
Exponential Screening and optimal rates of sparse estimation
Philippe Rigollet
Alexandre B. Tsybakov
160
242
0
12 Mar 2010
Mirror averaging with sparsity priors
Mirror averaging with sparsity priors
A. Dalalyan
Alexandre B. Tsybakov
159
59
0
05 Mar 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
226
729
0
05 Oct 2009
Fast learning rates in statistical inference through aggregation
Fast learning rates in statistical inference through aggregation
Jean-Yves Audibert
99
119
0
08 Sep 2009
Sparse recovery in convex hulls via entropy penalization
Sparse recovery in convex hulls via entropy penalization
V. Koltchinskii
119
32
0
13 May 2009
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo
A. Dalalyan
Alexandre B. Tsybakov
158
179
0
06 Mar 2009
Risk bounds in linear regression through PAC-Bayesian truncation
Risk bounds in linear regression through PAC-Bayesian truncation
Jean-Yves Audibert
O. Catoni
97
13
0
10 Feb 2009
Sparse Online Learning via Truncated Gradient
Sparse Online Learning via Truncated Gradient
John Langford
Lihong Li
Tong Zhang
119
486
0
28 Jun 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
456
755
0
04 Apr 2008
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and
  sparsity
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
A. Dalalyan
Alexandre B. Tsybakov
147
176
0
19 Mar 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
367
2,527
0
07 Jan 2008
Mixing Least-Squares Estimators when the Variance is Unknown
Mixing Least-Squares Estimators when the Variance is Unknown
Christophe Giraud
109
27
0
02 Nov 2007
Aggregation for Gaussian regression
Aggregation for Gaussian regression
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
342
361
0
19 Oct 2007
Sparsity oracle inequalities for the Lasso
Sparsity oracle inequalities for the Lasso
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
378
470
0
23 May 2007
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