← Authors

Wenkai Xu

12 papers · 2017–2023 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (3) πŸ’Ž Century Club (12) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (50)

Conferences

NIPS (5) AISTATS (3) ICML (3) UAI (1)

Top co-authors

Arthur Gretton (4) Jie Lu (2) Feng Liu (2) Tamara Fernandez (2) Gesine D Reinert (2) Danica J. Sutherland (2) Takeru Matsuda (2) Wittawat Jitkrittum (1) Kenji Fukumizu (1) Zoltan Szabo (1)

Keywords

kernel methods (5) goodness-of-fit test (4) statistical testing (4) stein discrepancy (4) goodness-of-fit testing (3) stein operator (2) bahadur efficiency (2) goodness of fit (2) kernelized stein discrepancy (2) maximum mean discrepancy (2) stein method (2) two-sample testing (1) distribution comparison (1) generative model (1) riemannian manifold (1) non-parametric statistics (1) two-sample test (1) network analysis (1) monte carlo method (1) nonparametric testing (1)

Papers

Learning Nonlinear Causal Effect via Kernel Anchor Regression UAI 2023
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators NIPS 2022
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit AISTATS 2022
A Kernelised Stein Statistic for Assessing Implicit Generative Models NIPS 2022
A Stein Goodness-of-test for Exponential Random Graph Models AISTATS 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NIPS 2021
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold ICML 2021
A Stein Goodness-of-fit Test for Directional Distributions AISTATS 2020
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data ICML 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests ICML 2020
A kernel test for quasi-independence NIPS 2020
A Linear-Time Kernel Goodness-of-Fit Test NIPS 2017