research
∙
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...
share
research
∙
06/16/2022
Generalised Bayesian Inference for Discrete Intractable Likelihood
Discrete state spaces represent a major computational challenge to stati...
research
∙
04/15/2021
Robust Generalised Bayesian Inference for Intractable Likelihoods
Generalised Bayesian inference updates prior beliefs using a loss functi...
research
∙
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...
research
∙
05/19/2018
