Conformal Bayes under Continuous Label Shift: Sensitivity Analysis and the Limits of Exact Validity

arXiv:2609.27976 · stat.ML, cs.LG · Submitted 2026-08-24 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-08-24

Updated: 2026-08-24

Terminology

Calibration — 113× in this paper · explained in 7 episodes
Pseudo-labels — 31× in this paper · explained in 2 episodes
Conformal Prediction — 27× in this paper · explained in 5 episodes
Benchmark — 22× in this paper · explained in 2 episodes
Exchangeability — 19× in this paper · explained in 2 episodes
Adaptation — 5× in this paper · explained in 1 episode
Pseudo-labeling — 4× in this paper · explained in 3 episodes
Aggregation — 3× in this paper · explained in 1 episode
Distribution Shift — 3× in this paper · explained in 6 episodes
International Conference on Machine Learning — 3× in this paper
Robustness — 3× in this paper · explained in 5 episodes
Uncertainty Quantification — 3× in this paper · explained in 8 episodes
Covariate Shift — 2× in this paper · explained in 2 episodes
Domain Adaptation — 2× in this paper · explained in 5 episodes
European Conference on Machine Learning — 2× in this paper
Systematic Bias — 2× in this paper · explained in 3 episodes
Causal Inference — 1× in this paper · explained in 4 episodes
Empirical Coverage — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes

Sources

Conformal Bayes for Two-Sided Censored Gaussian Regression under Label Shift

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