Conformal Prediction as Bayesian Quadrature
Revisits conformal prediction from a Bayesian perspective on deployment risk. Bayesian quadrature represents plausible test-loss distributions beyond the information conveyed by frequentist guarantees alone.
Overview
Revisits conformal prediction from a Bayesian perspective on deployment risk. Bayesian quadrature represents plausible test-loss distributions beyond the information conveyed by frequentist guarantees alone.
Revisits conformal prediction from a Bayesian perspective on deployment risk. Bayesian quadrature represents plausible test-loss distributions beyond the information conveyed by frequentist guarantees alone.
When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.
Revisits conformal prediction from a Bayesian perspective on deployment risk. Bayesian quadrature represents plausible test-loss distributions beyond the information conveyed by frequentist guarantees alone.
Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.
References
ID: icml-2025-conformal-bayesian-quadrature · Last verified:
