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stat.ML2025
Calibrated Multi-Level Quantile Forecasting
Tiffany Ding, Isaac Gibbs, Ryan J. Tibshirani
We develop an online method that guarantees calibration of quantile forecasts at multiple quantile levels simultaneously. In this work, a sequence of quantile forecasts is said to…
stat.ML2023★ 1 cited
Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test
Seunghoon Paik, Michael Celentano, Alden Green +1
Integral probability metrics (IPMs) constitute a general class of nonparametric two-sample tests that are based on maximizing the mean difference between samples from one distribut…