Compressed Active Subspaces for scalable Bayesian inference
Read the original at arxiv.org→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...
Original headline: "Compressed Active Subspaces for Scalable Bayesian Inference"
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- Sep 18, 04:00 UTC arXiv cs.LG lead source Compressed Active Subspaces for Scalable Bayesian Inference