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Central Limit Theorem for Bayesian Neural Network trained with
  Variational Inference

Central Limit Theorem for Bayesian Neural Network trained with Variational Inference

10 June 2024
Arnaud Descours
Tom Huix
Arnaud Guillin
Manon Michel
Eric Moulines
Boris Nectoux
ArXivPDFHTML

Papers citing "Central Limit Theorem for Bayesian Neural Network trained with Variational Inference"

3 / 3 papers shown
Title
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Beau Coker
W. Bruinsma
David R. Burt
Weiwei Pan
Finale Doshi-Velez
UQCV
BDL
26
21
0
23 Feb 2022
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
264
0
13 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1