Jean-Francois Ton

Jean-Francois Ton

Kernel methods, Meta-learning

A second year DPhil student as part of the OxWaSP program, supervised by Professor Dino Sejdinovic and Professor Yee Whye Teh. My research interests lie in the use of kernel methods in the meta-learning setup. I am also interested in Gaussian processes and un/self-supervised learning.



  • J. Xu , J. Ton , H. Kim , A. R. Kosiorek , Y. W. Teh , MetaFun: Meta-Learning with Iterative Functional Updates, in International Conference on Machine Learning (ICML), 2020.
    Project: tencent-lsml


  • J. Ton , L. Chan , Y. W. Teh , D. Sejdinovic , Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings, ArXiv e-prints:1906.02236, 2019.
    Project: bigbayes tencent-lsml
  • Z. Li , J. Ton , D. Oglic , D. Sejdinovic , Towards A Unified Analysis of Random Fourier Features, in International Conference on Machine Learning (ICML), 2019, PMLR 97:3905–3914.
  • H. Chai , J. Ton , M. Osborne , R. Garnett , Automated Model Selection with Bayesian Quadrature, in International Conference on Machine Learning (ICML), 2019, PMLR 97:931–940.


  • J. Ton , S. Flaxman , D. Sejdinovic , S. Bhatt , Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features, Spatial Statistics, vol. 28, 59–78, 2018.
    Project: bigbayes