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Compressed Active Subspaces for Scalable Bayesian Inference

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.19539v1 Announce Type: new Abstract: Active subspace methods provide a framework for quantifying predictive uncertainty in high-dimensional models by identifying and performing inference along parameter directions that have the greatest influence on the model output. However, the constru…

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  1. 2026-09-18 04:00 · arXiv cs.LG
    Compressed Active Subspaces for Scalable Bayesian Inference

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