Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Logistic Variational Bayes Revisited
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AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
The paper revisits variational logistic regression (Bayesian inference via the Evidence Lower Bound) as indicated by the abstract, but the supplied full text is the ICML 2024 formatting template rather than the paper's content.
Problem
Variational logistic regression requires approximating an intractable Evidence Lower Bound, so prior work has relied on Monte Carlo, quadrature, or bounds, which the abstract describes as costly. The provided full text does not describe the method or its evaluation.
Approach
Not determinable from the provided text: only the abstract's motivation is available, and the body is the ICML 2024 submission template.
Limitations
- The full text supplied is the ICML formatting template, so the paper's method and results cannot be verified.
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