Hugging Face Trending Papers

Efficient Bayesian Deep Ensembles via Analytic Predictive Inference

Read the original on Hugging Face Trending Papers →

We introduce an efficient Bayesian deep ensemble method for predictive regression designed to enhance interpretability while maintaining competitive predictive performance and computational efficiency. Our method combines the statistical rigor of Bayesian inference with the scalability of deep ensembles, providing calibrated uncertainty estimates that enable its use not only for standalone prediction but also as a component within broader learning systems.

Summary generated by The Flow from the publisher's feed. The full article lives at Hugging Face Trending Papers.