Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization.
Filip de RoosPhilipp HennigPublished in: CoRR (2019)
Keyphrases
- probabilistic inference
- stochastic optimization
- graphical models
- multistage
- bayesian networks
- influence diagrams
- context specific independence
- weighted model counting
- conditional probabilities
- message passing
- belief networks
- learning algorithm
- robust optimization
- machine learning
- dynamic programming
- variable elimination