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09/01/2022
The Geometry and Calculus of Losses
Statistical decision problems are the foundation of statistical machine ...
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07/25/2022
Information Processing Equalities and the Information-Risk Bridge
We introduce two new classes of measures of information for statistical ...
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02/11/2020
Generalised Lipschitz Regularisation Equals Distributional Robustness
The problem of adversarial examples has highlighted the need for a theor...
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02/19/2019
Proper-Composite Loss Functions in Arbitrary Dimensions
The study of a machine learning problem is in many ways is difficult to ...
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09/04/2018
Lipschitz Networks and Distributional Robustness
Robust risk minimisation has several advantages: it has been studied wit...
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06/13/2018
Integral Privacy for Density Estimation with Approximation Guarantees
Density estimation is an old and central problem in statistics and machi...
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06/08/2018
Monge beats Bayes: Hardness Results for Adversarial Training
The last few years have seen extensive empirical study of the robustness...
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03/22/2018
Boosted Density Estimation Remastered
There has recently been a steadily increase in the iterative approaches ...
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07/14/2017
