Robust Bayes-Assisted Conformal Prediction

arXiv:2607.04236 · stat.ML, cs.LG · Submitted 2026-07-05 · Read on arXiv

Kianoosh Ashouritaklimi, Stefano Cortinovis, François Caron

stat.ML, cs.LG

Submitted: 2026-07-05

Comments: Accepted to ICML 2026. 44 pages, 8 figures, 7 tables

Code: https://github.com/kiaashour/RoBAS

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Conformal Prediction — 105× in this paper · explained in 11 episodes
• Calibration — 96× in this paper · explained in 9 episodes
• Robustness — 27× in this paper · explained in 6 episodes
• Covariate Shift — 24× in this paper · explained in 3 episodes
• Score Function — 18× in this paper · explained in 4 episodes
• Distribution Shift — 13× in this paper · explained in 12 episodes
• Exchangeability — 12× in this paper · explained in 2 episodes
• Hyperparameters — 9× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Papers — 3× in this paper · explained in 3 episodes
• Abundance — 2× in this paper · explained in 1 episode
• Conformal Prediction (CP) — 2× in this paper · explained in 3 episodes
• Heteroscedasticity — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Split Conformal Prediction — 2× in this paper · explained in 4 episodes
• Systematic Bias — 2× in this paper · explained in 3 episodes
• Uncertainty Quantification — 2× in this paper · explained in 9 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Computational Efficiency — 1× in this paper · explained in 2 episodes
• Conformity — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distribution Shifts — 1× in this paper · explained in 2 episodes
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Hierarchical Structure — 1× in this paper · explained in 3 episodes
• Inflation — 1× in this paper · explained in 2 episodes
• Kernel Ridge Regression — 1× in this paper · explained in 2 episodes
• Selection Bias — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes

Sources

• The Interplay between Bayesian Inference and Conformal Prediction
• A Conformal Prediction Score that is Robust to Label Noise

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