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Exponential Screening and optimal rates of sparse estimation

Exponential Screening and optimal rates of sparse estimation

12 March 2010
Philippe Rigollet
Alexandre B. Tsybakov
ArXivPDFHTML

Papers citing "Exponential Screening and optimal rates of sparse estimation"

31 / 31 papers shown
Title
Targeting Underrepresented Populations in Precision Medicine: A
  Federated Transfer Learning Approach
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach
Sai Li
Tianxi Cai
R. Duan
26
45
0
27 Aug 2021
Transfer Learning for High-dimensional Linear Regression: Prediction,
  Estimation, and Minimax Optimality
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality
Sai Li
T. Tony Cai
Hongzhe Li
46
157
0
18 Jun 2020
On Robustness of Principal Component Regression
On Robustness of Principal Component Regression
Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
29
81
0
28 Feb 2019
On Cross-validation for Sparse Reduced Rank Regression
On Cross-validation for Sparse Reduced Rank Regression
Yiyuan She
Hoang Tran
23
15
0
30 Dec 2018
Adaptive Density Estimation on Bounded Domains
Adaptive Density Estimation on Bounded Domains
Karine Bertin
Salima El Kolei
N. Klutchnikoff
13
7
0
25 Oct 2018
Prediction and estimation consistency of sparse multi-class penalized
  optimal scoring
Prediction and estimation consistency of sparse multi-class penalized optimal scoring
Irina Gaynanova
27
11
0
12 Sep 2018
Approximation and Estimation for High-Dimensional Deep Learning Networks
Approximation and Estimation for High-Dimensional Deep Learning Networks
Andrew R. Barron
Jason M. Klusowski
27
59
0
10 Sep 2018
Structured Matrix Estimation and Completion
Structured Matrix Estimation and Completion
Olga Klopp
Yu Lu
Alexandre B. Tsybakov
Harrison H. Zhou
37
20
0
07 Jul 2017
Localized Gaussian width of $M$-convex hulls with applications to Lasso
  and convex aggregation
Localized Gaussian width of MMM-convex hulls with applications to Lasso and convex aggregation
Pierre C. Bellec
19
17
0
30 May 2017
Near-linear time approximation algorithms for optimal transport via
  Sinkhorn iteration
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
23
583
0
26 May 2017
Optimal Kullback-Leibler Aggregation in Mixture Density Estimation by
  Maximum Likelihood
Optimal Kullback-Leibler Aggregation in Mixture Density Estimation by Maximum Likelihood
A. Dalalyan
M. Sebbar
FedML
39
9
0
18 Jan 2017
Oracle Inequalities for High-dimensional Prediction
Oracle Inequalities for High-dimensional Prediction
Johannes Lederer
Lu Yu
Irina Gaynanova
31
24
0
01 Aug 2016
On cross-validated Lasso in high dimensions
On cross-validated Lasso in high dimensions
Denis Chetverikov
Z. Liao
Victor Chernozhukov
27
80
0
07 May 2016
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic
  Inference
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference
Zhuoran Yang
Zhaoran Wang
Han Liu
Yonina C. Eldar
Tong Zhang
6
43
0
14 Nov 2015
Robust Reduced Rank Regression
Robust Reduced Rank Regression
Yiyuan She
Kun Chen
23
58
0
14 Sep 2015
A General Framework for Bayes Structured Linear Models
A General Framework for Bayes Structured Linear Models
Chao Gao
A. van der Vaart
Harrison H. Zhou
42
57
0
06 Jun 2015
Graphical Exponential Screening
Graphical Exponential Screening
Zhe Liu
36
2
0
09 Mar 2015
Prediction error of cross-validated Lasso
Prediction error of cross-validated Lasso
S. Chatterjee
Jafar Jafarov
48
42
0
23 Feb 2015
Minimax estimation of linear and quadratic functionals on sparsity
  classes
Minimax estimation of linear and quadratic functionals on sparsity classes
O. Collier
L. Comminges
Alexandre B. Tsybakov
25
17
0
02 Feb 2015
Group Regularized Estimation under Structural Hierarchy
Group Regularized Estimation under Structural Hierarchy
Yiyuan She
Zhifeng Wang
He Jiang
51
47
0
17 Nov 2014
Robust Orthogonal Complement Principal Component Analysis
Robust Orthogonal Complement Principal Component Analysis
Yiyuan She
Shijie Li
Dapeng Wu
27
25
0
05 Oct 2014
Optimal bounds for aggregation of affine estimators
Optimal bounds for aggregation of affine estimators
Pierre C. Bellec
28
25
0
01 Oct 2014
Sparse Partially Linear Additive Models
Sparse Partially Linear Additive Models
Yin Lou
Jacob Bien
R. Caruana
J. Gehrke
38
56
0
17 Jul 2014
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
53
114
0
04 Feb 2014
Aggregation of Affine Estimators
Aggregation of Affine Estimators
Dong Dai
Philippe Rigollet
Lucy Xia
Tong Zhang
FedML
36
36
0
12 Nov 2013
Empirical entropy, minimax regret and minimax risk
Empirical entropy, minimax regret and minimax risk
Alexander Rakhlin
Karthik Sridharan
Alexandre B. Tsybakov
52
81
0
06 Aug 2013
Variable Selection with Exponential Weights and $l_0$-Penalization
Variable Selection with Exponential Weights and l0l_0l0​-Penalization
E. Arias-Castro
Karim Lounici
70
8
0
13 Aug 2012
Sparse Estimation by Exponential Weighting
Sparse Estimation by Exponential Weighting
Philippe Rigollet
Alexandre B. Tsybakov
77
121
0
25 Aug 2011
Sharp Oracle Inequalities for Aggregation of Affine Estimators
Sharp Oracle Inequalities for Aggregation of Affine Estimators
A. Dalalyan
Joseph Salmon
56
85
0
20 Apr 2011
Mirror averaging with sparsity priors
Mirror averaging with sparsity priors
A. Dalalyan
Alexandre B. Tsybakov
104
59
0
05 Mar 2010
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
194
749
0
04 Apr 2008
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