Centre for Artiﬁcial Intelligence, Gatsby Computational Neuroscience Unit, University College London & Inria London; Centre for Artiﬁcial Intelligence, University College London & Inria London; Department of Statistics & Data Science, Department of Applied Statistics, Yonsei University; Gatsby Computational Neuroscience Unit, University College London
Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton
kernel methods;hypothesis tests;adaptivity
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics