Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
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Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Conformalized matrix completion
An Independence Test based on Data-Driven Tree-Structured Representations.
Example on task completion times stressing the importance of distribution-free intervals, as well as .py file containing code to calculate such intervals.
Distribution-free test for general differences in two populations
A method for cold-deck imputation of a continuous distribution from binned incomes, using a real-world reference data set
🔍 Implement robust multi-distribution conformal prediction methods for reliable uncertainty quantification in machine learning applications.
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