Dominic Broadbent

Conditional Distribution Compression via the Kernel Conditional Mean Embedding

Existing distribution compression methods, like Kernel Herding (KH), were originally developed for unlabelled data. However, no existing approach directly compresses the conditional distribution of *labelled* data. To address this gap, we first introduce the *Average Maximum Conditional Mean Discrep…