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.

Publications

2021

  • S. L. Chau , J. Ton , J. Gonzalez , Y. W. Teh , D. Sejdinovic , BayesIMP: Uncertainty Quantification for Causal Data Fusion, in Advances in Neural Information Processing Systems (NeurIPS), 2021.
  • Z. Li , J. Ton , D. Oglic , D. Sejdinovic , Towards A Unified Analysis of Random Fourier Features, Journal of Machine Learning Research (JMLR), vol. 22, no. 108, 1–51, 2021.
  • J. Ton , L. Chan , Y. W. Teh , D. Sejdinovic , Noise Contrastive Meta Learning for Conditional Density Estimation using Kernel Mean Embeddings, in Artificial Intelligence and Statistics (AISTATS), 2021, PMLR 130:1099–1107.
  • J. Ton , D. Sejdinovic , K. Fukumizu , Meta Learning for Causal Direction, in Proceedings of the AAAI Conference on Artificial Intelligence, 2021, vol. 35, no. 11, 9897–9905.

2020

  • 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

2019

  • 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.

2018

  • 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