A Mutual Information Lower Bound for Multimodal Regression Active Learning

arXiv:2605. 14917v1 Announce Type: cross Abstract: Active learning for continuous regression has lacked an acquisition function that targets epistemic uncertainty when the predictive distribution is multimodal: variance misses modal disagreement, and information-theoretic targets like BALD are designed for discrete outputs.