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Masked Bayesian Neural Networks : Theoretical Guarantee and its
  Posterior Inference

Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference

24 May 2023
Insung Kong
Dongyoon Yang
Jongjin Lee
Ilsang Ohn
Gyuseung Baek
Yongdai Kim
    BDL
ArXivPDFHTML

Papers citing "Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference"

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
Misclassification bounds for PAC-Bayesian sparse deep learning
Misclassification bounds for PAC-Bayesian sparse deep learning
The Tien Mai
UQCV
BDL
49
3
0
02 May 2024
Training Bayesian Neural Networks with Sparse Subspace Variational
  Inference
Training Bayesian Neural Networks with Sparse Subspace Variational Inference
Junbo Li
Zichen Miao
Qiang Qiu
Ruqi Zhang
BDL
UQCV
20
8
0
16 Feb 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,660
0
05 Dec 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
9,136
0
06 Jun 2015
1