Ho Chung Leon Law

Ho Chung Leon Law

Kernel methods, machine learning

A second year DPhil student as part of the OxWaSP program, supervised by Professor Dino Sejdinovic and Dr Christopher Yau. My research interests lies in the use of kernel methods in the field of machine learning, as well as its potential application in Deep Learning. I am currently interested in the use of kernel methods in learning on distributions with symmetric noise invariances.



  • H. Law, D. Sutherland, D. Sejdinovic, S. Flaxman, Bayesian Distribution Regression, ArXiv e-prints:1705.04293, 2017.
  • H. Law, C. Yau, D. Sejdinovic, Testing and Learning on Distributions with Symmetric Noise Invariance, in Advances in Neural Information Processing Systems (NIPS), 2017.