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On Naive Mean-Field Approximation for high-dimensional canonical GLMs

On Naive Mean-Field Approximation for high-dimensional canonical GLMs

21 June 2024
S. Mukherjee
Jiaze Qiu
Subhabrata Sen
ArXivPDFHTML

Papers citing "On Naive Mean-Field Approximation for high-dimensional canonical GLMs"

5 / 5 papers shown
Title
Wasserstein Proximal Coordinate Gradient Algorithms
Wasserstein Proximal Coordinate Gradient Algorithms
Rentian Yao
Xiaohui Chen
Yun Yang
33
3
0
07 May 2024
Convergence of coordinate ascent variational inference for log-concave
  measures via optimal transport
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport
Manuel Arnese
Daniel Lacker
21
6
0
12 Apr 2024
Mean-field variational inference with the TAP free energy: Geometric and
  statistical properties in linear models
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models
Michael Celentano
Zhou Fan
Licong Lin
Song Mei
FedML
37
5
0
14 Nov 2023
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
28
3
0
15 Oct 2023
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
40
22
0
14 Jul 2021
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