Bayesian linear regression with sparse priors

4 March 2014

Papers citing "Bayesian linear regression with sparse priors"

42 / 42 papers shown

Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior Tien Mai 34 0 0 13 May 2025
Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning Albert Wilcox Mohamed Ghanem Masoud Moghani Pierre Barroso Benjamin Joffe Animesh Garg 50 0 0 06 Mar 2025
Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest Yu Zheng Leo L. Duan Arkaprava Roy 35 0 0 27 Sep 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 46 1 0 19 Mar 2024
Bernstein von-Mises Theorem for g-prior and nonlocal prior Xiao Fang Malay Ghosh 15 0 0 26 Jan 2024
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion Veronika Rockova 8 0 0 05 Sep 2023
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 21 7 0 14 Jul 2023
Bayesian Inference for $k$ -Monotone Densities with Applications to Multiple Testing Kang-Kang Wang S. Ghosal 18 1 0 08 Jun 2023
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 51 1 0 25 May 2023
Empirical Bayes inference in sparse high-dimensional generalized linear models Yiqi Tang Ryan Martin 30 3 0 14 Mar 2023
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery T. Tang Simon Mak David B. Dunson 16 4 0 01 Feb 2023
On the optimization and pruning for Bayesian deep learning X. Ke Yanan Fan BDL UQCV 35 1 0 24 Oct 2022
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm Alexander C. McLain A. Zgodic H. Bondell 31 2 0 16 Sep 2022
Bayesian Sparse Gaussian Mixture Model in High Dimensions Dapeng Yao Fangzheng Xie Yanxun Xu 31 1 0 21 Jul 2022
Scalable Spike-and-Slab N. Biswas Lester W. Mackey Xiao-Li Meng GP 29 11 0 04 Apr 2022
Bayesian inference on hierarchical nonlocal priors in generalized linear models Xuan Cao Kyoungjae Lee 35 1 0 14 Mar 2022
High-dimensional properties for empirical priors in linear regression with unknown error variance X. Fang M. Ghosh 19 5 0 11 Feb 2022
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 17 18 0 28 Jan 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes Hugh Dance Brooks Paige GP 20 10 0 08 Nov 2021
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 28 44 0 20 Oct 2021
Performance of Bayesian linear regression in a model with mismatch Jean Barbier Wei-Kuo Chen D. Panchenko Manuel Sáenz 40 22 0 14 Jul 2021
Approximate Laplace approximations for scalable model selection D. Rossell Oriol Abril A. Bhattacharya 16 15 0 14 Dec 2020
Gibbs posterior concentration rates under sub-exponential type losses Nicholas Syring Ryan Martin 14 29 0 08 Dec 2020
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 40 28 0 22 Oct 2020
Nonasymptotic Laplace approximation under model misspecification A. Bhattacharya D. Pati 19 1 0 16 May 2020
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors Rui Jin Aixin Tan 27 8 0 16 Mar 2019
Nonparametric Bayesian analysis of the compound Poisson prior for support boundary recovery M. Reiß Johannes Schmidt-Hieber 22 7 0 11 Sep 2018
Bayesian Linear Regression for Multivariate Responses Under Group Sparsity Bo Ning Seonghyun Jeong S. Ghosal 16 40 0 10 Jul 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 16 76 0 24 Dec 2017
Model Averaging and its Use in Economics M. Steel MoMe 19 238 0 24 Sep 2017
Posterior contraction rates for support boundary recovery M. Reiß Johannes Schmidt-Hieber 12 4 0 24 Mar 2017
Bayesian Sparse Linear Regression with Unknown Symmetric Error Minwoo Chae Lizhen Lin David B. Dunson 33 15 0 06 Aug 2016
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 30 72 0 07 Jul 2016
Bayesian Variable Selection for Skewed Heteroscedastic Response Libo Wang Yuanyuan Tang D. Sinha D. Pati S. Lipsitz 22 3 0 29 Feb 2016
Probabilistic community detection with unknown number of communities J. Geng A. Bhattacharya D. Pati 21 73 0 25 Feb 2016
Needles and straw in a haystack: robust confidence for possibly sparse sequences E. Belitser N. Nurushev 25 24 0 05 Nov 2015
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 37 57 0 06 Jun 2015
Optimal Bayesian estimation in stochastic block models D. Pati A. Bhattacharya 30 7 0 26 May 2015
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 31 4 0 13 Nov 2014
A general approach to posterior contraction in nonparametric inverse problems B. Knapik J. Salomond MedIm 28 32 0 01 Jul 2014
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors S. V. D. Pas B. Kleijn A. van der Vaart 40 166 0 01 Apr 2014
Correlated variables in regression: clustering and sparse estimation Peter Buhlmann Philipp Rutimann Sara van de Geer Cun-Hui Zhang 80 182 0 26 Sep 2012