75 citations · 135 across the 19 of their papers we have counts for
5 papers · 1 filter
A kernel test for quasi-independence
Tamara Fernández, Wenkai Xu, Marc Ditzhaus +1
We consider settings in which the data of interest correspond to pairs of ordered times, e.g, the birth times of the first and second child, the times at which a new user creates a…
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
Tamara Fernandez, Nicolas Rivera, Wenkai Xu +1
Survival Analysis and Reliability Theory are concerned with the analysis of time-to-event data, in which observations correspond to waiting times until an event of interest such as…
A Stein Goodness-of-fit Test for Directional Distributions
Wenkai Xu, Takeru Matsuda
In many fields, data appears in the form of direction (unit vector) and usual statistical procedures are not applicable to such directional data. In this study, we propose non-para…
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu, Wenkai Xu, Jie Lu +3
We propose a class of kernel-based two-sample tests, which aim to determine whether two sets of samples are drawn from the same distribution. Our tests are constructed from kernels…
Model Reuse with Reduced Kernel Mean Embedding Specification
Xi-Zhu Wu, Wenkai Xu, Song Liu +1
Given a publicly available pool of machine learning models constructed for various tasks, when a user plans to build a model for her own machine learning application, is it possibl…