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.



  • H. Law , P. Zhao , J. Huang , D. Sejdinovic , Hyperparameter Learning via Distributional Transfer, NeurIPS Workshop on Meta-Learning, 2018.
    Project: tencent-lsml
  • H. Law , D. Sejdinovic , E. Cameron , T. Lucas , S. Flaxman , K. Battle , K. Fukumizu , Variational Learning on Aggregate Outputs with Gaussian Processes, in Advances in Neural Information Processing Systems (NeurIPS), 2018, to appear.
    Project: bigbayes
  • H. Law , D. Sutherland , D. Sejdinovic , S. Flaxman , Bayesian Approaches to Distribution Regression, in Artificial Intelligence and Statistics (AISTATS), 2018.
    Project: bigbayes


  • H. Law , C. Yau , D. Sejdinovic , Testing and Learning on Distributions with Symmetric Noise Invariance, in Advances in Neural Information Processing Systems (NeurIPS), 2017, 1343–1353.