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stat.ML2023
Model-free generalized fiducial inference
Jonathan P Williams
Conformal prediction (CP) was developed to provide finite-sample probabilistic prediction guarantees. While CP algorithms are a relatively general-purpose approach to uncertainty q…
stat.ML2023
Valid Inference for Machine Learning Model Parameters
Neil Dey, Jonathan P. Williams
The parameters of a machine learning model are typically learned by minimizing a loss function on a set of training data. However, this can come with the risk of overtraining; in o…