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06/25/2023
TCE: A Test-Based Approach to Measuring Calibration Error
This paper proposes a new metric to measure the calibration error of pro...
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06/16/2022
Generalised Bayesian Inference for Discrete Intractable Likelihood
Discrete state spaces represent a major computational challenge to stati...
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04/15/2021
Robust Generalised Bayesian Inference for Intractable Likelihoods
Generalised Bayesian inference updates prior beliefs using a loss functi...
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10/16/2020
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks
Bayesian neural networks attempt to combine the strong predictive perfor...
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05/19/2018