Sample-Then-Optimize Batch Neural Thompson Sampling.
Zhongxiang DaiYao ShuBryan Kian Hsiang LowPatrick JailletPublished in: CoRR (2022)
Keyphrases
- sample size
- sampled data
- neural network
- random sampling
- random samples
- progressive sampling
- random sample
- network architecture
- computational neuroscience
- monte carlo
- neural model
- batch processing
- nonlinear predictive control
- neural computation
- batch learning
- sampling strategies
- connectionist models
- sample points
- small sample
- case study
- machine learning