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stat.ML2026
On the Burden of Achieving Fairness in Conformal Prediction
Ziang Gao, Pengqi Liu, Archer Yi Yang +3
Conformal prediction is often calibrated with a single pooled threshold, but this can hide cross-group heterogeneity in score distributions and distort group-wise coverage. We stud…
stat.ML2026
Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning
Yu Gu, Zijun Yu, Vahid Partovi Nia +1
Chain-of-thought (CoT) reasoning with self-consistency improves performance by aggregating multiple sampled reasoning paths. In this setting, correctness is no longer tied to a sin…
stat.ML2026
Beyond Procedure: Substantive Fairness in Conformal Prediction
Pengqi Liu, Zijun Yu, Mouloud Belbahri +3
Conformal prediction (CP) offers distribution-free uncertainty quantification for machine learning models, yet its interplay with fairness in downstream decision-making remains und…