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Bayesian inference in high-dimensional models

Bayesian inference in high-dimensional models

12 January 2021
Sayantan Banerjee
I. Castillo
S. Ghosal
ArXivPDFHTML

Papers citing "Bayesian inference in high-dimensional models"

10 / 10 papers shown
Title
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra
Tomoya Wakayama
Masaaki Imaizumi
47
1
0
25 May 2023
Maximum a Posteriori Estimation in Graphical Models Using Local Linear
  Approximation
Maximum a Posteriori Estimation in Graphical Models Using Local Linear Approximation
K. Sagar
J. Datta
Sayantan Banerjee
A. Bhadra
14
2
0
13 Mar 2023
Scalable Spike-and-Slab
Scalable Spike-and-Slab
N. Biswas
Lester W. Mackey
Xiao-Li Meng
GP
12
11
0
04 Apr 2022
Variational Bayes for high-dimensional proportional hazards models with
  applications within gene expression
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
M. Komodromos
E. Aboagye
Marina Evangelou
Sarah Filippi
Kolyan Ray
11
9
0
19 Dec 2021
User-friendly introduction to PAC-Bayes bounds
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
34
196
0
21 Oct 2021
Performance of Bayesian linear regression in a model with mismatch
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
Empirical Bayes cumulative $\ell$-value multiple testing procedure for
  sparse sequences
Empirical Bayes cumulative ℓ\ellℓ-value multiple testing procedure for sparse sequences
Kweku Abraham
I. Castillo
Étienne Roquain
11
6
0
01 Feb 2021
Spike and slab variational Bayes for high dimensional logistic
  regression
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray
Botond Szabó
Gabriel Clara
15
28
0
22 Oct 2020
Adaptive Bayesian density regression for high-dimensional data
Adaptive Bayesian density regression for high-dimensional data
Weining Shen
S. Ghosal
45
26
0
11 Mar 2014
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
60
217
0
04 Jul 2012
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