Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models.
Mahdi ImaniSeyede Fatemeh GhoreishiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- state space
- statistical models
- bayesian inference
- optimization algorithm
- bayesian networks
- statistical inference
- markov chain monte carlo
- heuristic search
- optimization problems
- dynamical systems
- dynamic bayesian networks
- machine learning
- structured prediction
- response surface
- monte carlo
- maximum likelihood
- search space
- reinforcement learning
- web scale
- inference process
- bayesian models