Qinyi Zhang

Qinyi Zhang

Statistical Machine Learning, Kernel Method, Nonparametric Association Measures

I am a final year DPhil student supervised by Dino Sejdinovic and Sarah Filippi. My research interest lies in large scale nonparametric association measures, in particular, those based on representations of probability distributions in the reproducing kernel Hilbert spaces (RKHSs). Nonparametric association of independence, conditional independence and multivariate interactions are all of interests. Recently, I have been working on Bayesian nonparametric testing utilising distance measures in the RKHS.

Publications

2018

  • Q. Zhang , S. Filippi , A. Gretton , D. Sejdinovic , Large-Scale Kernel Methods for Independence Testing, Statistics and Computing, vol. 28, no. 1, 113–130, Jan. 2018.
    Project: bigbayes

2017

  • Q. Zhang , S. Filippi , S. Flaxman , D. Sejdinovic , Feature-to-Feature Regression for a Two-Step Conditional Independence Test, in Uncertainty in Artificial Intelligence (UAI), 2017.
    Project: bigbayes