139 citations · 315 across the 36 of their papers we have counts for
3 papers · 1 filter
Proper-Composite Loss Functions in Arbitrary Dimensions
Zac Cranko, Robert C. Williamson, Richard Nock
The study of a machine learning problem is in many ways is difficult to separate from the study of the loss function being used. One avenue of inquiry has been to look at these los…
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…
Fairness risk measures
Robert C. Williamson, Aditya Krishna Menon
Ensuring that classifiers are non-discriminatory or fair with respect to a sensitive feature (e.g., race or gender) is a topical problem. Progress in this task requires fixing a de…