40 citations · 161 across the 24 of their papers we have counts for
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cs.LG2016★ 4 cited
A scaled Bregman theorem with applications
Richard Nock, Aditya Krishna Menon, Cheng Soon Ong
Bregman divergences play a central role in the design and analysis of a range of machine learning algorithms. This paper explores the use of Bregman divergences to establish reduct…
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…