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Efficient Bayes Inference in Neural Networks through Adaptive Importance
  Sampling

Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling

3 October 2022
Yunshi Huang
Émilie Chouzenoux
Victor Elvira
J. Pesquet
    BDL
ArXivPDFHTML

Papers citing "Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling"

6 / 6 papers shown
Title
A Proximal Newton Adaptive Importance Sampler
A Proximal Newton Adaptive Importance Sampler
Victor Elvira
Émilie Chouzenoux
O. Deniz Akyildiz
76
0
0
21 Dec 2024
Stein Variational Newton Neural Network Ensembles
Stein Variational Newton Neural Network Ensembles
Klemens Flöge
Mohammed Abdul Moeed
Vincent Fortuin
BDL
UQCV
37
0
0
04 Nov 2024
Stochastic mirror descent for nonparametric adaptive importance sampling
Stochastic mirror descent for nonparametric adaptive importance sampling
Pascal Bianchi
B. Delyon
Victor Priser
François Portier
22
2
0
20 Sep 2024
A Primer on Bayesian Neural Networks: Review and Debates
A Primer on Bayesian Neural Networks: Review and Debates
Federico Danieli
Konstantinos Pitas
M. Vladimirova
Vincent Fortuin
BDL
AAML
56
18
0
28 Sep 2023
Gradient Importance Sampling
Gradient Importance Sampling
Ingmar Schuster
17
25
0
21 Jul 2015
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
261
9,134
0
06 Jun 2015
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