Следене
Wenkai Xu
Wenkai Xu
Postdoc, Department of Statistics, University of Oxford
Потвърден имейл адрес: stats.ox.ac.uk - Начална страница
Заглавие
Позовавания
Позовавания
Година
A linear-time kernel goodness-of-fit test
W Jitkrittum, W Xu, Z Szabó, K Fukumizu, A Gretton
Advances in Neural Information Processing Systems 30, 2017
892017
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
672020
A Stein Goodness-of-fit Test for Directional Distributions
W Xu, T Matsuda
AISTATS2020, 2020
152020
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
82020
A Stein Goodness-of-test for Exponential Random Graph Models
W Xu, G Reinert
International Conference on Artificial Intelligence and Statistics, 415-423, 2021
32021
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifolds
W Xu, T Matsuda
ICML2021, 2021
32021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
F Liu, W Xu, J Lu, DJ Sutherland
Advances in Neural Information Processing Systems 34, 2021
22021
Model reuse with reduced kernel mean embedding specification
XZ Wu, W Xu, S Liu, ZH Zhou
IEEE Transactions on Knowledge and Data Engineering, 2021
22021
A Stein Goodness of fit Test for Exponential Random Graph Models
W Xu, G Reinert
AISTATS2021, 2021
22021
Advances in Non-parametric Hypothesis Testing with Kernels
W Xu
UCL (University College London), 2021
12021
A kernel test for quasi-independence
T Fernández, W Xu, M Ditzhaus, A Gretton
NeurIPS 2020, 2020
12020
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit
W Xu
International Conference on Artificial Intelligence and Statistics, 1575-1597, 2022
2022
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
W Xu, G Reinert
arXiv preprint arXiv:2203.03673, 2022
2022
Generalised Kernel Stein Discrepancy (GKSD): A Unifying Approach for Non-parametric Goodness-of-fit Testing
W Xu
arXiv preprint arXiv:2106.12105, 2021
2021
Direction Matters: On Influence-Preserving Graph Summarization and Max-cut Principle for Directed Graphs
W Xu, G Niu, A Hyvärinen, M Sugiyama
Neural Computation, 2019
2019
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