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05/04/2022
Modelling calibration uncertainty in networks of environmental sensors
Networks of low-cost sensors are becoming ubiquitous, but often suffer f...
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09/19/2019
Adversarial Vulnerability Bounds for Gaussian Process Classification
Machine learning (ML) classification is increasingly used in safety-crit...
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09/19/2019
Differentially Private Regression and Classification with Sparse Gaussian Processes
A continuing challenge for machine learning is providing methods to perf...
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06/22/2019
Multi-task Learning for Aggregated Data using Gaussian Processes
Aggregated data is commonplace in areas such as epidemiology and demogra...
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09/06/2018
Gaussian Process Regression for Binned Data
Many datasets are in the form of tables of binned data. Performing regre...
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11/17/2017
How Wrong Am I? - Studying Adversarial Examples and their Impact on Uncertainty in Gaussian Process Machine Learning Models
Machine learning models are vulnerable to adversarial examples: minor, i...
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06/02/2016