1 citations · 1 across the 3 of their papers we have counts for
3 papers
Nyström Kernel Stein Discrepancy Tests
Florian Kalinke, Zoltán Szabó, Bharath K. Sriperumbudur
Kernel Stein discrepancy (KSD) is among the most popular goodness-of-fit (GoF) measures on general domains with a large number of successful deployments. One of the main applicatio…
Nyström Kernel Stein Discrepancy
Florian Kalinke, Zoltan Szabo, Bharath K. Sriperumbudur
Kernel methods underpin many of the most successful approaches in data science and statistics, and they allow representing probability measures as elements of a reproducing kernel…
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels
Florian Kalinke, Zoltan Szabo
Kernel techniques are among the most influential approaches in data science and statistics. Under mild conditions, the reproducing kernel Hilbert space associated to a kernel is ca…