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Understanding Variational Inference in Function-Space

Understanding Variational Inference in Function-Space

18 November 2020
David R. Burt
Sebastian W. Ober
Adrià Garriga-Alonso
Mark van der Wilk
    BDL
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Papers citing "Understanding Variational Inference in Function-Space"

6 / 6 papers shown
Title
Function-Space Regularization for Deep Bayesian Classification
Function-Space Regularization for Deep Bayesian Classification
J. Lin
Joe Watson
Pascal Klink
Jan Peters
UQCV
BDL
41
1
0
12 Jul 2023
Diffusion Generative Models in Infinite Dimensions
Diffusion Generative Models in Infinite Dimensions
Gavin Kerrigan
Justin Ley
Padhraic Smyth
DiffM
53
27
0
01 Dec 2022
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
32
22
0
22 Oct 2021
Repulsive Deep Ensembles are Bayesian
Repulsive Deep Ensembles are Bayesian
Francesco DÁngelo
Vincent Fortuin
UQCV
BDL
59
94
0
22 Jun 2021
Meta-Learning Reliable Priors in the Function Space
Meta-Learning Reliable Priors in the Function Space
Jonas Rothfuss
Dominique Heyn
Jinfan Chen
Andreas Krause
42
27
0
06 Jun 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
31
124
0
14 May 2021
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