About Me

I am a second year DPhil student at the University of Oxford in Machine Learning supervised by Prof. Yee Whye Teh and Prof. Dino Sejdinovic. Before joining the Oxford Statistical Machine Learning Group, I did my MSc in Applied Statistics at the University of Oxford. Prior to that, I graduated with BSc in Mathematics from Imperial College London.


I have previously interned at Bloomberg L.P. in Global Data London, where I worked on automating inefficient workflows. My current research interest lies in Meta-Learning and Kernel Methods. Specifically, understanding uncertainty in Deep Learning Models.

Most Recent Work

meta

Noise Contrastive Meta Learning for Conditional Density Estimation using Kernel Mean Embeddings

05/06/2019

Under review Link.

BQ

Automated Model Selection Using Bayesian Quadrature

26/02/2019

To appear in ICML 2019 Link

Non-stationary GP

Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features

09/07/2018

Our paper has been accepted at Journal of Spatial Statistics 2018
Check out the paper at Link.

kernel

A Unified Analysis of Random Fourier Features

09/12/2017

To appear in ICML 2019 Link

Research interests

My main interests lie in Computational Statistics and Machine Learning. I have done projects on MCMC Methods, Gaussian Processes, Bayesian Quadrature and Bayesian Deep Learning. I am currently working on Meta-Learning and in understanding uncertainty in Deep Learning Models. In my free time I like to do photography and play table tennis.

Curriculum vitae

My Résumé is available here.

Contact me

Email

jean-francois.ton-at-stats.ox.ac.uk

Post

Department of Statistics
University of Oxford
24-29 St Giles
Oxford OX1 3LB, UK