Sparse Estimation by Exponential Weighting

25 August 2011

Papers citing "Sparse Estimation by Exponential Weighting"

50 / 61 papers shown

Title
Error Reduction from Stacked Regressions Xin Chen Jason M. Klusowski Yan Shuo Tan 13 3 0 18 Sep 2023
Empirical Bayes inference in sparse high-dimensional generalized linear models Yiqi Tang Ryan Martin 30 3 0 14 Mar 2023
Optimal quasi-Bayesian reduced rank regression with incomplete response The Tien Mai Pierre Alquier 31 2 0 17 Jun 2022
Risk bounds for aggregated shallow neural networks using Gaussian prior L. Tinsi A. Dalalyan BDL 12 7 0 21 Dec 2021
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning Siyi Deng Y. Ning Jiwei Zhao Heping Zhang 31 7 0 28 Nov 2020
Rapid mixing of a Markov chain for an exponentially weighted aggregation estimator D. Pollard Dana Yang 20 2 0 25 Sep 2019
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers Mahmoud Albardan John Klein O. Colot 6 5 0 18 Aug 2019
Estimating the Random Effect in Big Data Mixed Models Michael Law Yaácov Ritov 8 0 0 27 Jul 2019
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets Amir-Reza Asadi Emmanuel Abbe BDL AI4CE 31 13 0 26 Jun 2019
Synthetic learner: model-free inference on treatments over time Davide Viviano Jelena Bradic CML 14 19 0 02 Apr 2019
Inference Without Compatibility Michael Law Yaácov Ritov 17 1 0 14 Mar 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 11 220 0 16 Jan 2019
Second order Stein: SURE for SURE and other applications in high-dimensional inference Pierre C. Bellec Cun-Hui Zhang 12 33 0 09 Nov 2018
Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior Chang-rui Liu Yue Yang H. Bondell Ryan Martin 26 8 0 01 Oct 2018
Entropic optimal transport is maximum-likelihood deconvolution Philippe Rigollet Jonathan Niles-Weed OT 23 76 0 14 Sep 2018
Exponential weights in multivariate regression and a low-rankness favoring prior A. Dalalyan 29 16 0 25 Jun 2018
An adaptive multiclass nearest neighbor classifier Nikita Puchkin V. Spokoiny 16 7 0 08 Apr 2018
Solution of linear ill-posed problems by model selection and aggregation F. Abramovich D. Canditiis Marianna Pensky 17 2 0 30 Oct 2017
Nonparametric Poisson regression from independent and weakly dependent observations by model selection Martin Kroll 32 12 0 08 Aug 2017
Localized Gaussian width of $M$ -convex hulls with applications to Lasso and convex aggregation Pierre C. Bellec 13 17 0 30 May 2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration Jason M. Altschuler Jonathan Niles-Weed Philippe Rigollet OT 23 581 0 26 May 2017
On Estimation of Isotonic Piecewise Constant Signals Chao Gao Fang Han Cun-Hui Zhang 9 31 0 18 May 2017
Sharp Oracle Inequalities for Low-complexity Priors Tung Duy Luu Jalal Fadili C. Chesneau 11 7 0 10 Feb 2017
Metamodel construction for sensitivity analysis S. Huet M. Taupin 22 6 0 17 Jan 2017
On the prediction loss of the lasso in the partially labeled setting Pierre C. Bellec A. Dalalyan Edwin Grappin Q. Paris 8 30 0 20 Jun 2016
Aggregation of supports along the Lasso path Pierre C. Bellec 14 1 0 10 Feb 2016
PAC-Bayesian High Dimensional Bipartite Ranking Benjamin Guedj Sylvain Robbiano 22 11 0 09 Nov 2015
High dimensional regression and matrix estimation without tuning parameters S. Chatterjee 20 4 0 25 Oct 2015
Estimation of matrices with row sparsity Olga Klopp Alexandre B. Tsybakov 27 8 0 01 Sep 2015
Sharp oracle bounds for monotone and convex regression through aggregation Pierre C. Bellec Alexandre B. Tsybakov 22 32 0 29 Jun 2015
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 34 57 0 06 Jun 2015
Heterogeneous Change Point Inference F. Pein H. Sieling Axel Munk 14 83 0 19 May 2015
Bump detection in heterogeneous Gaussian regression F. Enikeeva Axel Munk Frank Werner 22 24 0 28 Apr 2015
Graphical Exponential Screening Zhe Liu 36 2 0 09 Mar 2015
An Aggregation Method for Sparse Logistic Regression Zhe Liu 21 0 0 25 Oct 2014
PAC-Bayesian aggregation of affine estimators Lucie Montuelle E. L. Pennec 47 1 0 02 Oct 2014
Optimal bounds for aggregation of affine estimators Pierre C. Bellec 26 25 0 01 Oct 2014
Bayesian Model Averaging with Exponentiated Least Square Loss Dong Dai Lei Han Ting Yang Tong Zhang MoMe 21 5 0 06 Aug 2014
Empirical Bayes posterior concentration in sparse high-dimensional linear models Ryan Martin Raymond Mess S. Walker 43 102 0 30 Jun 2014
Bayesian matrix completion: prior specification Pierre Alquier V. Cottet Nicolas Chopin Judith Rousseau 44 18 0 05 Jun 2014
Optimal exponential bounds for aggregation of density estimators Pierre C. Bellec 43 17 0 15 May 2014
Aggregation of predictors for nonstationary sub-linear processes and online adaptive forecasting of time varying autoregressive processes Christophe Giraud François Roueff Andrés Sánchez-Pérez 27 13 0 27 Apr 2014
Bayesian linear regression with sparse priors I. Castillo Johannes Schmidt-Hieber A. van der Vaart 54 373 0 04 Mar 2014
A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection Amandine Schreck G. Fort Sylvain Le Corff Eric Moulines 53 42 0 19 Dec 2013
On risk bounds in isotonic and other shape restricted regression problems S. Chatterjee Adityanand Guntuboyina B. Sen 37 136 0 15 Nov 2013
Aggregation of Affine Estimators Dong Dai Philippe Rigollet Lucy Xia Tong Zhang FedML 28 36 0 12 Nov 2013
Empirical entropy, minimax regret and minimax risk Alexander Rakhlin Karthik Sridharan Alexandre B. Tsybakov 49 81 0 06 Aug 2013
Global risk bounds and adaptation in univariate convex regression Adityanand Guntuboyina B. Sen 39 81 0 07 May 2013
Pivotal estimation in high-dimensional regression via linear programming Eric Gautier Alexandre B. Tsybakov 37 23 0 28 Mar 2013
Multiscale Change-Point Inference K. Frick Axel Munk H. Sieling 51 339 0 30 Jan 2013