Evaluating Probabilistic Inference in Deep Learning: Beyond Marginal Predictions.
Xiuyuan LuIan OsbandBenjamin Van RoyZheng WenPublished in: CoRR (2021)
Keyphrases
- probabilistic inference
- deep learning
- graphical models
- unsupervised learning
- bayesian networks
- machine learning
- approximate inference
- weighted model counting
- conditional probabilities
- message passing
- belief networks
- probability distribution
- probabilistic graphical models
- weakly supervised
- exact inference
- distributed systems
- higher order
- active learning
- mental models
- feature extraction
- data mining