139 citations · 315 across the 36 of their papers we have counts for
4 papers · 1 filter
Fast rates in statistical and online learning
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta +2
The speed with which a learning algorithm converges as it is presented with more data is a central problem in machine learning --- a fast rate of convergence means less data is nee…
Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan van Rooyen, Aditya Krishna Menon, Robert C. Williamson
Convex potential minimisation is the de facto approach to binary classification. However, Long and Servedio [2010] proved that under symmetric label noise (SLN), minimisation of an…
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…