Walsh-Hadamard Variational Inference for Bayesian Deep Learning.
Simone RossiSébastien MarminMaurizio FilipponePublished in: CoRR (2019)
Keyphrases
- variational inference
- deep learning
- walsh hadamard
- bayesian inference
- posterior distribution
- topic models
- mixture model
- probabilistic model
- variational methods
- gaussian process
- unsupervised learning
- probabilistic graphical models
- latent dirichlet allocation
- image matching
- machine learning
- closed form
- latent variables
- bayesian framework
- probability distribution
- exact inference
- parameter estimation
- posterior probability
- exponential family
- hyperparameters
- mental models
- approximate inference
- maximum a posteriori
- markov chain monte carlo
- probabilistic inference
- bayesian networks
- particle filter
- maximum likelihood
- statistical models
- graphical models
- belief propagation
- active learning