Deep Bayesian Active Learning for Accelerating Stochastic Simulation.
Dongxia WuRuijia NiuMatteo ChinazziAlessandro VespignaniYi-An MaRose YuPublished in: KDD (2023)
Keyphrases
- stochastic simulation
- bayesian analysis
- active learning
- belief networks
- simple examples
- computationally feasible
- training examples
- machine learning
- semi supervised
- labeled data
- semi supervised learning
- maximum entropy
- training set
- supervised learning
- mathematical model
- dynamical systems
- ordinary differential equations
- artificial neural networks
- bayesian networks
- learning algorithm