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stat.ML2026
Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better
Yizhou Min, Yizhou Lu, Lanqi Li +2
Conformal prediction(CP) has become a cornerstone of distribution-free uncertainty quantification, conventionally evaluated by its coverage and interval length. This work criticall…
stat.ML2025
Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
Mingyi Zheng, Hongyu Jiang, Yizhou Lu +1
Conformal Prediction (CP) is a distribution-free framework for constructing statistically rigorous prediction sets. While popular variants such as CD-split improve CP's efficiency,…
stat.ML2025
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
Zhen Zhang, Xin Liu, Shaoli Wang +1
Covariate shift occurs when the distribution of input features differs between the training and testing phases. In covariate shift, estimating an unknown function's moment is a cla…