Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design.
Qihua ChenHyun-Myung WooXuejin ChenByung-Jun YoonPublished in: CoRR (2022)
Keyphrases
- message passing
- experimental design
- belief propagation
- active learning
- distributed systems
- empirical studies
- probabilistic inference
- inference in graphical models
- graphical models
- markov random field
- sample size
- dynamic programming
- sum product algorithm
- optimal solution
- shared memory
- sum product
- data points
- high dimensional
- feature selection
- learning algorithm