Ho Chung Leon Law

Ho Chung Leon Law

Kernel methods, machine learning

A final year DPhil student as part of the OxWaSP program, supervised by Professor Dino Sejdinovic and Dr Christopher Yau. My research interests lies in kernel methods, Gaussian process, and lately Bayesian optimisation.

Publications

2019

  • H. Law , P. Zhao , L. Chan , J. Huang , D. Sejdinovic , Hyperparameter Learning via Distributional Transfer, Advances in Neural Information Processing Systems (NeurIPS), to appear, 2019.
    Project: tencent-lsml
  • A. Raj , H. Law , D. Sejdinovic , M. Park , A Differentially Private Kernel Two-Sample Test, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2019, to appear.
    Project: bigbayes

2018

  • 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

2017

  • 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.