George Wynne

I'm a PhD Student at Imperial College London in the Mathematics Department, Statistics Section.

My email is: [g.wynne18]@[ic.ac.uk] without the braces.

Bio

Research

My research interests broadly lie in kernel methods and Gaussian processes applied to functional data, in particular to statistical tests.

The tools I mostly use are reproducing kernel Hilbert space theory, scattered data approximation and kernel mean embeddings.

News

Papers

  1. Title: A Kernel Two-Sample Test For Functional Data
    Authors: GW, Andrew B. Duncan
    Type: Pre-print
    Link: https://arxiv.org/abs/2008.11095
  2. Title: Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
    Authors: Toni Karvonen, GW, Filip Tronarp, Chris J. Oates, Simo Särrkä
    Type: To appear in SIAM/ASA Journal of Uncertianty Quantification
    Link: https://arxiv.org/abs/2001.10965
  3. Title: Convergence Guarantees for Gaussian Process Means with Misspecified Likelihoods and Smoothness
    Authors: GW, François-Xavier Briol, Mark Girolami
    Type: Pre-print
    Link: https://arxiv.org/abs/2001.10818

Activities

Misc

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