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Byung-Jun Yoon

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#artificial intelligence Preprint Sep 2026

Compressed Active Subspaces for Scalable Bayesian Inference

This work proposes Compressed Active Subspaces (CAS), a scalable approach that first maps the model parameters to a compressed space using a structured isometric embedding and then constructs the active subspace within this reduced parameterization.

Thomas Flynn, Sanket R. Jantre, Byung-Jun Yoon et al. · 0 citations