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George Wynne

Bayes Hilbert Spaces for Posterior Approximation

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Apr 18, 2023
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A Spectral Representation of Kernel Stein Discrepancy with Application to Goodness-of-Fit Tests for Measures on Infinite Dimensional Hilbert Spaces

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Jun 09, 2022
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Grassmann Stein Variational Gradient Descent

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Feb 07, 2022
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Variational Gaussian Processes: A Functional Analysis View

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Oct 25, 2021
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Statistical Depth Meets Machine Learning: Kernel Mean Embeddings and Depth in Functional Data Analysis

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May 26, 2021
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A Kernel Two-Sample Test for Functional Data

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Aug 25, 2020
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Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions

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Feb 24, 2020
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Convergence Guarantees for Gaussian Process Approximations Under Several Observation Models

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Jan 29, 2020
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