4 papers
Density estimation using the perceptron
Patrik Róbert Gerber, Tianze Jiang, Yury Polyanskiy +1
We propose a new density estimation algorithm. Given i.i.d. observations from a distribution belonging to a class of densities on , our estimator outputs any dens…
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
Patrik Róbert Gerber, Tianze Jiang, Yury Polyanskiy +1
Given observations from two balanced classes, consider the task of labeling an additional inputs that are known to all belong to \emph{one} of the two classes. Special case…
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 (). In , one first trains a class…
Likelihood-free hypothesis testing
Patrik Róbert Gerber, Yury Polyanskiy
Consider the problem of binary hypothesis testing. Given coming from either or , to decide between the two with small probability…