Robust goodness-of-fit test with kernels -- now out in JMLR! jmlr.org/papers/v26/2... - Existing kernel-based goodness-of-fit tests are not necessarily robust. We explain why in the paper. - We propose a simple yet provably robust extension. Joint work with @fxbriol.bsky.social
Xing Liu
@xingliu97.bsky.social
刘行 | Data Scientist @quantco | PhD in Statistical ML @StatML @imperialcollegeldn.bsky.social https://xinglliu.github.io/