Sparse Variational Inference: Bayesian Coresets from Scratch
Trevor Campbell, Boyan Beronov
–Neural Information Processing Systems
Thisperspectiveleadstoanovel construction via greedy optimization, and also provides a unifying informationgeometric viewofpresent andpastmethods. TheproposedRiemannian coreset construction algorithm is fully automated, requiring no problem-specific inputs aside from theprobabilistic model and dataset.
Neural Information Processing Systems
Feb-12-2026, 16:50:50 GMT
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