Variational Linearized Laplace Approximation for Bayesian Deep Learning.
Luis A. OrtegaSimón Rodríguez SantanaDaniel Hernández-LobatoPublished in: CoRR (2023)
Keyphrases
- deep learning
- expectation propagation
- unsupervised learning
- unsupervised feature learning
- machine learning
- marginal likelihood
- free energy
- maximum likelihood
- image segmentation
- bayesian networks
- weakly supervised
- gaussian process
- mental models
- deep architectures
- object tracking
- approximate inference
- supervised learning
- viewpoint
- training data
- face recognition
- decision trees
- decision making