arXiv stat.ML
· Papers
Bayesian Experimental Design via Score Matching
arXiv:2607.08335v1 Announce Type: new Abstract: Policy-based approaches to Bayesian experimental design (BED) allow the learning of deep policy networks that adaptively make intelligent design decisions based on previously collected data. However, the training of such policies is often held back by a fundamental challe