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Variational Inference in high-dimensional linear regression

Variational Inference in high-dimensional linear regression

25 April 2021
Soumendu Sundar Mukherjee
S. Sen
    BDL
ArXiv (abs)PDFHTML

Papers citing "Variational Inference in high-dimensional linear regression"

13 / 13 papers shown
Title
Stability of Mean-Field Variational Inference
Stability of Mean-Field Variational Inference
Shunan Sheng
Bohan Wu
Alberto González-Sanz
Marcel Nutz
13
0
0
09 Jun 2025
Causal effect estimation under network interference with mean-field
  methods
Causal effect estimation under network interference with mean-field methods
Sohom Bhattacharya
Subhabrata Sen
CML
66
2
0
28 Jul 2024
Sampling from the Random Linear Model via Stochastic Localization Up to
  the AMP Threshold
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
Han Cui
Zhiyuan Yu
Jingbo Liu
71
1
0
15 Jul 2024
Provably Efficient Posterior Sampling for Sparse Linear Regression via
  Measure Decomposition
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
Andrea Montanari
Yuchen Wu
78
4
0
27 Jun 2024
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
Soumendu Sundar Mukherjee
Jiaze Qiu
Subhabrata Sen
58
1
0
21 Jun 2024
Sub-optimality of the Naive Mean Field approximation for proportional
  high-dimensional Linear Regression
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Jiaze Qiu
55
3
0
15 Oct 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional
  Linear Regression
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
Soumendu Sundar Mukherjee
Bodhisattva Sen
Subhabrata Sen
82
5
0
28 Sep 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of
  Diffusion Models in High-Dimensional Graphical Models
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei
Yuchen Wu
DiffM
84
28
0
20 Sep 2023
Statistical and Computational Trade-offs in Variational Inference: A
  Case Study in Inferential Model Selection
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection
Kush S. Bhatia
Nikki Lijing Kuang
Yi-An Ma
Yixin Wang
46
7
0
22 Jul 2022
The price of ignorance: how much does it cost to forget noise structure
  in low-rank matrix estimation?
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Jean Barbier
Tianqi Hou
Marco Mondelli
Manuel Sáenz
101
15
0
20 May 2022
The TAP free energy for high-dimensional linear regression
The TAP free energy for high-dimensional linear regression
Jia Qiu
Subhabrata Sen
64
8
0
14 Mar 2022
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
89
22
0
14 Jul 2021
Local convexity of the TAP free energy and AMP convergence for
  Z2-synchronization
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Michael Celentano
Z. Fan
Song Mei
FedML
88
23
0
21 Jun 2021
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