arXiv stat.ML
· Papers
Efficient Adaptive Data Acquisition via Pretrained Belief Representations
arXiv:2606.25197v1 Announce Type: cross Abstract: Learning effective policies for adaptive data acquisition remains challenging: posterior-based methods rely on surrogate models and posterior approximations that can be misspecified or biased, while direct policy-learning methods map from historical observations and fai