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Mirror averaging with sparsity priors
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Mirror averaging with sparsity priors

5 March 2010
A. Dalalyan
Alexandre B. Tsybakov
ArXiv (abs)PDFHTML

Papers citing "Mirror averaging with sparsity priors"

19 / 19 papers shown
Title
On the optimality of the aggregate with exponential weights for low
  temperatures
On the optimality of the aggregate with exponential weights for low temperatures
Guillaume Lecué
S. Mendelson
68
18
0
21 Mar 2013
Exponential Screening and optimal rates of sparse estimation
Exponential Screening and optimal rates of sparse estimation
Philippe Rigollet
Alexandre B. Tsybakov
197
242
0
12 Mar 2010
Hyper-sparse optimal aggregation
Hyper-sparse optimal aggregation
Stéphane Gaïffas
Guillaume Lecué
490
17
0
08 Dec 2009
Fast learning rates in statistical inference through aggregation
Fast learning rates in statistical inference through aggregation
Jean-Yves Audibert
123
119
0
08 Sep 2009
The Dantzig selector and sparsity oracle inequalities
The Dantzig selector and sparsity oracle inequalities
V. Koltchinskii
252
134
0
04 Sep 2009
Some sharp performance bounds for least squares regression with $L_1$
  regularization
Some sharp performance bounds for least squares regression with L1L_1L1​ regularization
Tong Zhang
139
270
0
20 Aug 2009
Sparse recovery in convex hulls via entropy penalization
Sparse recovery in convex hulls via entropy penalization
V. Koltchinskii
131
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
178
180
0
06 Mar 2009
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
472
869
0
07 Aug 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
629
756
0
04 Apr 2008
Hierarchical selection of variables in sparse high-dimensional
  regression
Hierarchical selection of variables in sparse high-dimensional regression
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
187
37
0
08 Jan 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
535
2,531
0
07 Jan 2008
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
Pierre Alquier
225
58
0
11 Dec 2007
On optimality of Bayesian testimation in the normal means problem
On optimality of Bayesian testimation in the normal means problem
F. Abramovich
V. Grinshtein
Marianna Pensky
134
56
0
06 Dec 2007
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
306
460
0
03 Dec 2007
Mixing Least-Squares Estimators when the Variance is Unknown
Mixing Least-Squares Estimators when the Variance is Unknown
Christophe Giraud
134
27
0
02 Nov 2007
Aggregation for Gaussian regression
Aggregation for Gaussian regression
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
507
362
0
19 Oct 2007
Sparsity oracle inequalities for the Lasso
Sparsity oracle inequalities for the Lasso
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
557
472
0
23 May 2007
A universal procedure for aggregating estimators
A universal procedure for aggregating estimators
A. Goldenshluger
FedML
601
33
0
19 Apr 2007
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