Wenkai Xu
Wenkai Xu
PhD Candidate, Gatsby Unit of Computational Neuroscience, UCL
Verified email at gatsby.ucl.ac.uk
Title
Cited by
Cited by
Year
A linear-time kernel goodness-of-fit test
W Jitkrittum, W Xu, Z Szabó, K Fukumizu, A Gretton
arXiv preprint arXiv:1705.07673, 2017
622017
Learning deep kernels for non-parametric two-sample tests
F Liu, W Xu, J Lu, G Zhang, A Gretton, DJ Sutherland
International Conference on Machine Learning, 6316-6326, 2020
122020
A Stein Goodness-of-fit Test for Directional Distributions
W Xu, T Matsuda
AISTATS2020, 2020
52020
Model reuse with reduced kernel mean embedding specification
XZ Wu, W Xu, S Liu, ZH Zhou
arXiv preprint arXiv:2001.07135, 2020
12020
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
T Fernandez, N Rivera, W Xu, A Gretton
International Conference on Machine Learning, 3112-3122, 2020
2020
A kernel test for quasi-independence
T Fernández, W Xu, M Ditzhaus, A Gretton
arXiv preprint arXiv:2011.08991, 2020
2020
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
T Fernandez Aguilar, A Gretton, N Rivera, W XU
International Machine Learning Society (IMLS), 2020
2020
Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs
W Xu, G Niu, A Hyvärinen, M Sugiyama
arXiv preprint arXiv:1907.09588, 2019
2019
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