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Brendan van Rooyen

4 papers hereh-index 9967 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ML2

identity via Semantic Scholar / OpenAlex

most citedLearning in the Presence of Corruption

9 citations · 11 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2016

Learning from Binary Labels with Instance-Dependent Corruption

Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan

Suppose we have a sample of instances paired with binary labels corrupted by arbitrary instance- and label-dependent noise. With sufficiently many such samples, can we optimally cl…

cs.LG2015

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…

stat.ML2015★ 9 cited

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 P, of instances, label pairs, by providing a function f from instances to labels that ha…

stat.ML2015★ 2 cited

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…

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