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stat.ML2026
Isotonic Conformal Inference
Daniel Bensimon, Zhiquan Liu, Sean Xiang Yu +3
A predictor with small overall bias can still exhibit systematic bias conditional on its predicted value, limiting its reliability for downstream uncertainty quantification and can…
stat.ME2026
CAIRO: Decoupling Order from Scale in Regression
Harri Vanhems, Yue Zhao, Peng Shi +1
Standard regression methods typically optimize a single pointwise objective, such as mean squared error, which conflates the learning of ordering with the learning of scale. This c…
stat.ML2026
Why Self-Training Helps and Hurts: Denoising vs. Signal Forgetting
Mingqi Wu, Archer Y. Yang, Qiang Sun
Iterative self-training (self-distillation) repeatedly refits a model on pseudo-labels generated by its own predictions. We study this procedure in overparameterized linear regress…