36 citations · 122 across the 12 of their papers we have counts for
4 papers · 1 filter
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds
Hisham Husain, Richard Nock, Robert C. Williamson
Since the introduction of Generative Adversarial Networks (GANs) and Variational Autoencoders (VAE), the literature on generative modelling has witnessed an overwhelming resurgence…
Learning in the Presence of Corruption
Brendan van Rooyen, Robert C. Williamson
In supervised learning one wishes to identify a pattern present in a joint distribution , of instances, label pairs, by providing a function from instances to labels that ha…
A Theory of Feature Learning
Brendan van Rooyen, Robert C. Williamson
Feature Learning aims to extract relevant information contained in data sets in an automated fashion. It is driving force behind the current deep learning trend, a set of methods t…
Information, Divergence and Risk for Binary Experiments
Mark D. Reid, Robert C. Williamson
We unify f-divergences, Bregman divergences, surrogate loss bounds (regret bounds), proper scoring rules, matching losses, cost curves, ROC-curves and information. We do this by sy…