Bayesian linear regression with sparse priors

4 March 2014

Papers citing "Bayesian linear regression with sparse priors"

30 / 30 papers shown

Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior Tien Mai 24 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 43 0 0 06 Mar 2025
Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest Yu Zheng Leo L. Duan Arkaprava Roy 25 0 0 27 Sep 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 26 1 0 19 Mar 2024
Bernstein von-Mises Theorem for g-prior and nonlocal prior Xiao Fang Malay Ghosh 10 0 0 26 Jan 2024
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion Veronika Rockova 6 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 11 7 0 14 Jul 2023
Bayesian Inference for $k$ -Monotone Densities with Applications to Multiple Testing Kang-Kang Wang S. Ghosal 14 1 0 08 Jun 2023
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 47 1 0 25 May 2023
Empirical Bayes inference in sparse high-dimensional generalized linear models Yiqi Tang Ryan Martin 16 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 14 4 0 01 Feb 2023
On the optimization and pruning for Bayesian deep learning X. Ke Yanan Fan BDL UQCV 12 1 0 24 Oct 2022
Bayesian Sparse Gaussian Mixture Model in High Dimensions Dapeng Yao Fangzheng Xie Yanxun Xu 21 1 0 21 Jul 2022
Scalable Spike-and-Slab N. Biswas Lester W. Mackey Xiao-Li Meng GP 12 11 0 04 Apr 2022
Bayesian inference on hierarchical nonlocal priors in generalized linear models Xuan Cao Kyoungjae Lee 20 1 0 14 Mar 2022
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 10 17 0 28 Jan 2022
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes Hugh Dance Brooks Paige GP 20 9 0 08 Nov 2021
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 10 44 0 20 Oct 2021
Performance of Bayesian linear regression in a model with mismatch Jean Barbier Wei-Kuo Chen D. Panchenko Manuel Sáenz 32 22 0 14 Jul 2021
Approximate Laplace approximations for scalable model selection D. Rossell Oriol Abril A. Bhattacharya 8 15 0 14 Dec 2020
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 18 28 0 22 Oct 2020
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 14 77 0 24 Dec 2017
Uncertainty quantification for the horseshoe S. V. D. Pas Botond Szabó A. van der Vaart 23 71 0 07 Jul 2016
Probabilistic community detection with unknown number of communities J. Geng A. Bhattacharya D. Pati 19 72 0 25 Feb 2016
Needles and straw in a haystack: robust confidence for possibly sparse sequences E. Belitser N. Nurushev 12 24 0 05 Nov 2015
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 30 58 0 06 Jun 2015
Optimal Bayesian estimation in stochastic block models D. Pati A. Bhattacharya 22 7 0 26 May 2015
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 23 4 0 13 Nov 2014
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors S. V. D. Pas B. Kleijn A. van der Vaart 33 165 0 01 Apr 2014
Correlated variables in regression: clustering and sparse estimation Peter Buhlmann Philipp Rutimann Sara van de Geer Cun-Hui Zhang 80 181 0 26 Sep 2012