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Gaussian variational approximation with sparse precision matrices

Gaussian variational approximation with sparse precision matrices

18 May 2016
Linda S. L. Tan
David J. Nott
ArXivPDFHTML

Papers citing "Gaussian variational approximation with sparse precision matrices"

7 / 7 papers shown
Title
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
H. Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
110
6
0
28 Jan 2025
Batch, match, and patch: low-rank approximations for score-based variational inference
Batch, match, and patch: low-rank approximations for score-based variational inference
Chirag Modi
Diana Cai
Lawrence K. Saul
BDL
37
1
0
29 Oct 2024
Provably Scalable Black-Box Variational Inference with Structured
  Variational Families
Provably Scalable Black-Box Variational Inference with Structured Variational Families
Joohwan Ko
Kyurae Kim
W. Kim
Jacob R. Gardner
BDL
27
2
0
19 Jan 2024
Provable convergence guarantees for black-box variational inference
Provable convergence guarantees for black-box variational inference
Justin Domke
Guillaume Garrigos
Robert Mansel Gower
18
18
0
04 Jun 2023
Variational Bayesian Approximation of Inverse Problems using Sparse
  Precision Matrices
Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices
Jan Povala
Ieva Kazlauskaite
Eky Febrianto
F. Cirak
Mark Girolami
26
22
0
22 Oct 2021
A practical tutorial on Variational Bayes
A practical tutorial on Variational Bayes
Minh-Ngoc Tran
Trong-Nghia Nguyen
Viet-Hung Dao
BDL
17
38
0
01 Mar 2021
Variational Inference for Generalized Linear Mixed Models Using
  Partially Noncentered Parametrizations
Variational Inference for Generalized Linear Mixed Models Using Partially Noncentered Parametrizations
Linda S. L. Tan
David J. Nott
43
49
0
17 May 2012
1