Xu, Wenkai

13 publications

UAI 2023 Learning Nonlinear Causal Effect via Kernel Anchor Regression Wenqi Shi, Wenkai Xu

AISTATS 2022 Standardisation-Function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-Fit Wenkai Xu

NeurIPS 2022 A Kernelised Stein Statistic for Assessing Implicit Generative Models Wenkai Xu, Gesine D Reinert

NeurIPS 2022 AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators Wenkai Xu, Gesine D Reinert

NeurIPSW 2022 On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics Wenkai Xu, Gesine Reinert, Moritz Weckbecker

AISTATS 2021 A Stein Goodness-of-Test for Exponential Random Graph Models Wenkai Xu, Gesine Reinert

ICML 2021 Interpretable Stein Goodness-of-Fit Tests on Riemannian Manifold Wenkai Xu, Takeru Matsuda

NeurIPS 2021 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data Feng Liu, Wenkai Xu, Jie Lu, Danica J. Sutherland

NeurIPS 2020 A Kernel Test for Quasi-Independence Tamara Fernandez, Wenkai Xu, Marc Ditzhaus, Arthur Gretton

AISTATS 2020 A Stein Goodness-of-Fit Test for Directional Distributions Wenkai Xu, Takeru Matsuda

ICML 2020 Kernelized Stein Discrepancy Tests of Goodness-of-Fit for Time-to-Event Data Tamara Fernandez, Nicolas Rivera, Wenkai Xu, Arthur Gretton

ICML 2020 Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland

NeurIPS 2017 A Linear-Time Kernel Goodness-of-Fit Test Wittawat Jitkrittum, Wenkai Xu, Zoltan Szabo, Kenji Fukumizu, Arthur Gretton