bde: A Python Package for Bayesian Deep Ensembles via MILE
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Computer Science > Machine Learning
Title:bde: A Python Package for Bayesian Deep Ensembles via MILE
Abstract:bde is a user-friendly Python package for Bayesian Deep Ensembles with a particular focus on tabular data. Built on an efficient JAX implementation of the sampling-based inference method Microcanonical Langevin Ensembles (MILE), it provides scikit-learn compatible estimators for fast training, efficient Markov Chain Monte Carlo sampling, and uncertainty quantification in both regression and classification tasks.
| Subjects: | Machine Learning (cs.LG) |
| Cite as: | arXiv:2605.14146 [cs.LG] |
| (or arXiv:2605.14146v1 [cs.LG] for this version) | |
| https://doi.org/10.48550/arXiv.2605.14146
arXiv-issued DOI via DataCite (pending registration)
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