3 papers
cs.LG2026
Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation
Soheun Yi, Yizhou Lu, Chandler Squires +1
Reliable generalization in conditional latent variable models requires understanding both identifiability and extrapolation: how observed variation across attributes determines lat…
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,…