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Kernel-based tests for likelihood-free hypothesis testing
PR Gerber, T Jiang, Y Polyanskiy… - Advances in Neural …, 2023 - proceedings.neurips.cc
Given $ n $ observations from two balanced classes, consider the task of labeling an
additional $ m $ inputs that are known to all belong to\emph {one} of the two classes …
additional $ m $ inputs that are known to all belong to\emph {one} of the two classes …
Likelihood-free hypothesis testing and applications of the energy distance
PR Gerber - 2024 - dspace.mit.edu
This thesis studies questions in nonparametric testing and estimation that are inspired by
machine learning. One of the main problems of our interest is likelihood-free hypothesis …
machine learning. One of the main problems of our interest is likelihood-free hypothesis …