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Jean-Francois Ton
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Conformal Off-Policy Prediction in Contextual Bandits


Jun 09, 2022
Muhammad Faaiz Taufiq, Jean-Francois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet

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Regularized Training of Nearest Neighbor Language Models


Sep 16, 2021
Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Josh Susskind

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Meta Learning for Causal Direction


Jul 06, 2020
Jean-Francois Ton, Dino Sejdinovic, Kenji Fukumizu

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Pruning untrained neural networks: Principles and Analysis


Feb 19, 2020
Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh

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* 50 pages, 12 figures 
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MetaFun: Meta-Learning with Iterative Functional Updates


Dec 05, 2019
Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh

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


Jun 05, 2019
Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic

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Automated Model Selection with Bayesian Quadrature


Mar 01, 2019
Henry Chai, Jean-Francois Ton, Roman Garnett, Michael A. Osborne

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* 10 pages, 5 figures. Currently in submission to ICML 2019 
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A Unified Analysis of Random Fourier Features


Jun 24, 2018
Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic

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Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features


Nov 15, 2017
Jean-Francois Ton, Seth Flaxman, Dino Sejdinovic, Samir Bhatt

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* under submission to Spatial Statistics Journal 
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