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cs.LG2026
Smoothed Elicitation Complexity for Approximate -calibration of Discrete Classification Tasks
Jessica Finocchiaro, Victor Ganson, Drona Khurana
One prominent method of evaluating machine learning model trustworthiness is the notion of calibration. In the binary outcome setting, a probabilistic predictor is calibrated if ou…
cs.LG2025
Consistency Conditions for Differentiable Surrogate Losses
Drona Khurana, Anish Thilagar, Dhamma Kimpara +1
The statistical consistency of surrogate losses for discrete prediction tasks is often checked via the condition of calibration. However, directly verifying calibration can be ardu…