Minimax optimal testing by classification

Patrik Róbert Gerber, Yanjun Han, Yury Polyanskiy

This paper considers an ML inspired approach to hypothesis testing known as classifier/classification-accuracy testing ($\mathsf{CAT}$). In $\mathsf{CAT}$, one first trains a class…