AutoML Two-Sample Test

• Published in: arXiv.org
• Main Authors: Kübler, Jonas M, Stimper, Vincent, Buchholz, Simon, Muandet, Krikamol, Schölkopf, Bernhard
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 15.01.2023
• Subjects: Machine learning; Test procedures

Two-sample tests are important in statistics and machine learning, both as tools for scientific discovery as well as to detect distribution shifts. This led to the development of many sophisticated test procedures going beyond the standard supervised learning frameworks, whose usage can require spec...