Dropout Inference in Bayesian Neural Networks with Alpha-divergences.
Yingzhen LiYarin GalPublished in: CoRR (2017)
Keyphrases
- neural network
- bayesian inference
- bayesian networks
- bayesian models
- statistical inference
- fuzzy logic
- bayesian model selection
- pattern recognition
- belief networks
- posterior probability
- neural network model
- back propagation
- maximum likelihood
- artificial neural networks
- fault diagnosis
- multilayer perceptron
- model selection
- probabilistic inference
- bayesian model
- bayesian learning
- markov chain monte carlo
- genetic algorithm
- bayesian analysis
- inference process
- maximum entropy
- dynamic bayesian networks
- decision theory
- decision theoretic
- gaussian processes
- fuzzy systems
- exponential family
- random fields
- bregman divergences
- kullback leibler
- recurrent neural networks
- learning algorithm