Variational Bayes for high-dimensional linear regression with sparse priors

15 April 2019

Papers citing "Variational Bayes for high-dimensional linear regression with sparse priors"

15 / 15 papers shown

Title
Adaptive Bayesian Predictive Inference in High-dimensional Regerssion Veronika Rockova 8 0 0 05 Sep 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 45 4 0 21 Apr 2023
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 28 5 0 21 Dec 2022
Variational Inference for Semiparametric Bayesian Novelty Detection in Large Datasets L. Benedetti Eric Boniardi Leonardo Chiani Jacopo Ghirri Marta Mastropietro A. Cappozzo Francesco Denti 29 0 0 04 Dec 2022
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 34 3 0 09 Nov 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 33 1 0 21 Jul 2022
On the inability of Gaussian process regression to optimally learn compositional functions M. Giordano Kolyan Ray Johannes Schmidt-Hieber 39 12 0 16 May 2022
Scalable Spike-and-Slab N. Biswas Lester W. Mackey Xiao-Li Meng GP 29 11 0 04 Apr 2022
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression M. Komodromos E. Aboagye Marina Evangelou Sarah Filippi Kolyan Ray 14 9 0 19 Dec 2021
Contraction rates for sparse variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 52 17 0 22 Sep 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
Posterior contraction for deep Gaussian process priors G. Finocchio Johannes Schmidt-Hieber 35 11 0 16 May 2021
Latent Network Estimation and Variable Selection for Compositional Data via Variational EM Nathan Osborne Christine B. Peterson M. Vannucci BDL 8 18 0 25 Oct 2020
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 40 28 0 22 Oct 2020