Browse by UCL people
Group by: Type | Date
Jump to: Proceedings paper | Thesis
Number of items: 4.
Proceedings paper
Fernandez Aguilar, T;
Gretton, A;
Rivera, N;
XU, W;
(2020)
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data.
In:
Proceedings of the 37th International Conference on Machine Learning.
(pp. pp. 3112-3122).
PMLR: Vienna, Austria.
|
|
Jitkrittum, W;
Xu, W;
Szabó, Z;
Fukumizu, K;
Gretton, A;
(2017)
A linear-time kernel goodness-of-fit test.
In: Guyon, I and Luxburg, U.V. and Bengio, S and Wallach and, H and Furges, R and Vishwanathan, S and Garnett., R, (eds.)
Proceedings of Advances in Neural Information Processing Systems 30 (NIPS 2017).
NIPS Foundation: CA, USA.
(In press).
|
|
Liu, F;
Xu, W;
Lu, J;
Zhang, G;
Gretton, A;
Sutherland, DJ;
(2020)
Learning deep kernels for non-parametric two-sample tests.
In:
Proceedings of the 37th International Conference on Machine Learning.
(pp. pp. 6272-6282).
|
 |
Thesis
|
Xu, Wenkai;
(2021)
Advances in Non-parametric Hypothesis Testing with Kernels.
Doctoral thesis (Ph.D), UCL (University College London).
|
|
