Wenkai Xu

发表

Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data pdf

Arthur Gretton, Wenkai Xu, Nicolas Rivera, 2020, ICML.

A Linear-Time Kernel Goodness-of-Fit Test

Kenji Fukumizu, Arthur Gretton, Wittawat Jitkrittum, 2017, NIPS.

Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit

Wenkai Xu, 2021, AISTATS.

On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics

G. Reinert, Wenkai Xu, Moritz Weckbecker, 2022, ArXiv.

AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators

G. Reinert, Wenkai Xu, 2022, NeurIPS.

Nonlinear Causal Discovery via Kernel Anchor Regression

Wenkai Xu, Wenqi Shi, 2022, ArXiv.

A Kernelised Stein Statistic for Assessing Implicit Generative Models

G. Reinert, Wenkai Xu, 2022, NeurIPS.

Direction Matters: On Influence-Preserving Graph Summarization and Max-Cut Principle for Directed Graphs pdf

Gang Niu, Aapo Hyvärinen, Masashi Sugiyama, 2019, Neural Computation.

A novel policy iteration algorithm for solving the optimal consensus control problem of a discrete-time multiagent system with unknown dynamics

Wenkai Xu, Shiwen Sun, L. xilinx Wang, 2023, Science China Information Sciences.

Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold

Takeru Matsuda, Wenkai Xu, Wenkai Xu, 2021, ICML.

A Stein Goodness-of-fit Test for Directional Distributions

Takeru Matsuda, Wenkai Xu, Wenkai Xu, 2020, AISTATS.

Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data pdf

Jie Lu, Feng Liu, Danica J. Sutherland, 2021, NeurIPS.

Learning Deep Kernels for Non-Parametric Two-Sample Tests pdf

Feng Liu, Arthur Gretton, Wenkai Xu, 2020, ICML.

Generalised Kernel Stein Discrepancy (GKSD): A Unifying Approach for Non-parametric Goodness-of-fit Testing

Wenkai Xu, Wenkai Xu, 2021 .

A Stein Goodness of fit Test for Exponential Random Graph Models

Gesine Reinert, Wenkai Xu, G. Reinert, 2021, 2103.00580.

AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators

G. Reinert, Wenkai Xu, 2022, NeurIPS.

A Stein Goodness-of-test for Exponential Random Graph Models

Gesine Reinert, Wenkai Xu, G. Reinert, 2021, AISTATS.

Learning Deep Kernels for Non-Parametric Two-Sample Tests

Feng Liu, Arthur Gretton, Jie Lu, 2020, ICML.