Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy

Xing Liu, Andrew B. Duncan, Axel Gandy. Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 21527-21547, PMLR, 2023. [doi]

Abstract

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