Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift

Our summary

A systematic comparison of two-sample statistical tests for detecting when a system's input or output distribution has shifted, including how to identify and quantify the shift.

Why it matters

The methodological backbone of distributional testing — judging a stochastic system by its output distribution, not any single sample.

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