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Statistical inference in compound functional models

Statistical inference in compound functional models

31 August 2012
A. Dalalyan
Yu. I. Ingster
Alexandre B. Tsybakov
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Papers citing "Statistical inference in compound functional models"

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
52
18
0
21 Mar 2013
Sparsity in multiple kernel learning
Sparsity in multiple kernel learning
V. Koltchinskii
M. Yuan
162
191
0
13 Nov 2012
Nonparametric sparsity and regularization
Nonparametric sparsity and regularization
Lorenzo Rosasco
S. Villa
S. Mosci
M. Santoro
A. Verri
103
102
0
13 Aug 2012
Deviation optimal learning using greedy Q-aggregation
Deviation optimal learning using greedy Q-aggregation
Dong Dai
Philippe Rigollet
Tong Zhang
57
68
0
12 Mar 2012
Sparse Estimation by Exponential Weighting
Sparse Estimation by Exponential Weighting
Philippe Rigollet
Alexandre B. Tsybakov
125
121
0
25 Aug 2011
Tight conditions for consistency of variable selection in the context of
  high dimensionality
Tight conditions for consistency of variable selection in the context of high dimensionality
L. Comminges
A. Dalalyan
119
66
0
21 Jun 2011
Sparse Volterra and Polynomial Regression Models: Recoverability and
  Estimation
Sparse Volterra and Polynomial Regression Models: Recoverability and Estimation
V. Kekatos
G. Giannakis
65
73
0
03 Mar 2011
Tight conditions for consistent variable selection in high dimensional
  nonparametric regression
Tight conditions for consistent variable selection in high dimensional nonparametric regression
L. Comminges
A. Dalalyan
96
15
0
17 Feb 2011
Detection of sparse additive functions
Detection of sparse additive functions
G. Gayraud
Yu. I. Ingster
58
15
0
29 Nov 2010
Minimax-optimal rates for sparse additive models over kernel classes via
  convex programming
Minimax-optimal rates for sparse additive models over kernel classes via convex programming
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
104
287
0
21 Aug 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
High-Dimensional Non-Linear Variable Selection through Hierarchical
  Kernel Learning
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
Francis R. Bach
BDL
166
74
0
04 Sep 2009
Asymptotic equivalence of spectral density estimation and gaussian white
  noise
Asymptotic equivalence of spectral density estimation and gaussian white noise
G. Golubev
M. Nussbaum
Harrison H. Zhou
130
51
0
07 Mar 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
Selection of variables and dimension reduction in high-dimensional
  non-parametric regression
Selection of variables and dimension reduction in high-dimensional non-parametric regression
Karine Bertin
Guillaume Lecué
72
50
0
07 Nov 2008
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
309
481
0
25 Jun 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
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
38
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
367
2,527
0
07 Jan 2008
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