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