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cs.LG2026
A Distributional Optimisation Perspective on Combining Models in Deep Learning
Congye Wang, Yan Lin, Zheyang Shen +2
Combining predictions from different models can improve performance at machine learning tasks, but the training of the individual models and the rule used to combine them are typic…
stat.ML2026
When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination
Congye Wang
Trimming suspicious calibration points is a common response to contamination in conformal prediction. Its effect on clean-target coverage, however, is governed by the retained law…