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Benchmarking Bayesian neural networks and evaluation metrics for
  regression tasks

Benchmarking Bayesian neural networks and evaluation metrics for regression tasks

8 June 2022
B. Staber
Sébastien Da Veiga
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Benchmarking Bayesian neural networks and evaluation metrics for regression tasks"

4 / 4 papers shown
Title
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
78
221
0
06 Mar 2017
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
268
5,652
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
247
9,109
0
06 Jun 2015
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,263
0
09 Jun 2012
1