Wenkai Xu

Wenkai Xu

University College London

H-index: 7

Europe-United Kingdom

About Wenkai Xu

Wenkai Xu, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at University College London, specializes in the field of statistical machine learning, Stein's method, hypothesis testing.

His recent articles reflect a diverse array of research interests and contributions to the field:

SteinGen: Generating Fidelitous and Diverse Graph Samples

Learning Nonlinear Causal Effect via Kernel Anchor Regression

A kernelised Stein statistic for assessing implicit generative models

AgraSSt: Approximate graph Stein statistics for interpretable assessment of implicit graph generators

On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics

Nonlinear Causal Discovery via Kernel Anchor Regression

Standardisation-function kernel Stein discrepancy: A unifying view on kernel Stein discrepancy tests for goodness-of-fit

Meta two-sample testing: Learning kernels for testing with limited data

Wenkai Xu Information

University

Position

PhD Candidate Gatsby Unit of Computational Neuroscience

Citations(all)

361

Citations(since 2020)

346

Cited By

104

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Wenkai Xu Skills & Research Interests

statistical machine learning

Stein's method

hypothesis testing

Top articles of Wenkai Xu

SteinGen: Generating Fidelitous and Diverse Graph Samples

arXiv preprint arXiv:2403.18578

2024/3/27

Gesine Reinert
Gesine Reinert

H-Index: 23

Wenkai Xu
Wenkai Xu

H-Index: 3

Learning Nonlinear Causal Effect via Kernel Anchor Regression

2023/7/2

Wenkai Xu
Wenkai Xu

H-Index: 3

A kernelised Stein statistic for assessing implicit generative models

Advances in Neural Information Processing Systems

2022/12/6

Wenkai Xu
Wenkai Xu

H-Index: 3

AgraSSt: Approximate graph Stein statistics for interpretable assessment of implicit graph generators

Advances in Neural Information Processing Systems

2022/12/6

Wenkai Xu
Wenkai Xu

H-Index: 3

On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics

2022/11/29

Wenkai Xu
Wenkai Xu

H-Index: 3

Gesine Reinert
Gesine Reinert

H-Index: 23

Nonlinear Causal Discovery via Kernel Anchor Regression

arXiv preprint arXiv:2210.16775

2022/10/30

Wenkai Xu
Wenkai Xu

H-Index: 3

Standardisation-function kernel Stein discrepancy: A unifying view on kernel Stein discrepancy tests for goodness-of-fit

2022/5/3

Wenkai Xu
Wenkai Xu

H-Index: 3

Meta two-sample testing: Learning kernels for testing with limited data

Advances in Neural Information Processing Systems

2021/12/6

Advances in Non-parametric Hypothesis Testing with Kernels

2021/10/28

Wenkai Xu
Wenkai Xu

H-Index: 3

Model reuse with reduced kernel mean embedding specification

IEEE Transactions on Knowledge and Data Engineering

2021/6/4

A Stein goodness-of-test for exponential random graph models

2021/3/18

Wenkai Xu
Wenkai Xu

H-Index: 3

Gesine Reinert
Gesine Reinert

H-Index: 23

Interpretable Stein Goodness-of-fit Tests on Riemannian Manifolds

2021/3/1

Wenkai Xu
Wenkai Xu

H-Index: 3

A Stein Goodness of fit Test for Exponential Random Graph Models

AISTATS2021

2021/2/28

Wenkai Xu
Wenkai Xu

H-Index: 3

Gesine Reinert
Gesine Reinert

H-Index: 23

Kernelized Stein discrepancy tests of goodness-of-fit for time-to-event data

2020/11/21

Learning deep kernels for non-parametric two-sample tests

2020/11/21

A kernel test for quasi-independence

2020/11/17

A Stein Goodness-of-fit Test for Directional Distributions

AISTATS2020

2020/2/17

Wenkai Xu
Wenkai Xu

H-Index: 3

See List of Professors in Wenkai Xu University(University College London)