General bounds on the quality of Bayesian coresets Trevor Campbell

Mar-27-2025, 12:46:55 GMT–Neural Information Processing Systems

This work presents general upper and lower bounds on the Kullback-Leibler (KL) divergence of coreset approximations that reflect the full range of applicability of Bayesian coresets.

artificial intelligence, assumption, machine learning, (18 more...)

Neural Information Processing Systems

Mar-27-2025, 12:46:55 GMT

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