General bounds on the quality of Bayesian coresets Trevor Campbell

Oct-10-2025, 19:43:51 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

Oct-10-2025, 19:43:51 GMT

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Country:
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  - England > Cambridgeshire > Cambridge (0.04)
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  - British Columbia (0.04)

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- Research Report > Experimental Study (1.00)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning > Statistical Learning (1.00)
    - Representation & Reasoning (1.00)
  - Data Science (0.67)

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