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Asymptotic Properties for Bayesian Neural Network in Besov Space

Asymptotic Properties for Bayesian Neural Network in Besov Space

1 June 2022
Kyeongwon Lee
Jaeyong Lee
    BDL
ArXivPDFHTML

Papers citing "Asymptotic Properties for Bayesian Neural Network in Besov Space"

5 / 5 papers shown
Title
Posterior and variational inference for deep neural networks with heavy-tailed weights
Posterior and variational inference for deep neural networks with heavy-tailed weights
Ismael Castillo
Paul Egels
BDL
60
3
0
05 Jun 2024
Masked Bayesian Neural Networks : Theoretical Guarantee and its
  Posterior Inference
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong
Dongyoon Yang
Jongjin Lee
Ilsang Ohn
Gyuseung Baek
Yongdai Kim
BDL
31
4
0
24 May 2023
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
148
602
0
14 Feb 2016
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
285
9,145
0
06 Jun 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,267
0
09 Jun 2012
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