6 citations · 15 across the 11 of their papers we have counts for
8 papers · 1 filter
A Kernel Nonconformity Score for Multivariate Conformal Prediction
Louis Meyer, Wenkai Xu
Multivariate conformal prediction requires nonconformity scores that compress residual vectors into scalars while preserving certain implicit geometric structure of the residual di…
Split Conformal Prediction under Data Contamination
Jase Clarkson, Wenkai Xu, Mihai Cucuringu +2
Conformal prediction is a non-parametric technique for constructing prediction intervals or sets from arbitrary predictive models under the assumption that the data is exchangeable…
SteinGen: Generating Fidelitous and Diverse Graph Samples
Gesine Reinert, Wenkai Xu
Generating graphs that preserve characteristic structures while promoting sample diversity can be challenging, especially when the number of graph observations is small. Here, we t…
Nonlinear Causal Discovery via Kernel Anchor Regression
Wenqi Shi, Wenkai Xu
Learning causal relationships is a fundamental problem in science. Anchor regression has been developed to address this problem for a large class of causal graphical models, though…
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics
Moritz Weckbecker, Wenkai Xu, Gesine Reinert
Score-based kernelised Stein discrepancy (KSD) tests have emerged as a powerful tool for the goodness of fit tests, especially in high dimensions; however, the test performance may…
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…