no code implementations • 8 Oct 2020 • Gareth P. Jones, James M. Hickey, Pietro G. Di Stefano, Charanpal Dhanjal, Laura C. Stoddart, Vlasios Vasileiou
We found that fairness-unaware algorithms typically fail to produce adequately fair models and that the simplest algorithms are not necessarily the fairest ones.
no code implementations • 25 Aug 2015 • Charanpal Dhanjal, Romaric Gaudel, Stephan Clemencon
With this in mind, we propose a class of objective functions over matrix factorisations which primarily represent a smooth surrogate for the real AUC, and in a special case we show how to prioritise the top of the list.
no code implementations • 10 Jan 2014 • Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon
It is the main goal of this paper to propose a novel method to perform matrix completion on-line.
no code implementations • 9 Dec 2013 • Charanpal Dhanjal, Stéphan Clémençon
It is the main purpose of this paper to introduce a graph-valued stochastic process in order to model the spread of a communicable infectious disease.
no code implementations • 25 Nov 2013 • Charanpal Dhanjal, Stéphan Clémençon
The idea is to use Latent Semantic Indexing (LSI) and Latent Dirichlet Allocation (LDA) to perform topic modelling in order to find authors who have worked in a query field.
no code implementations • 7 Jan 2013 • Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon
Namely, the method promoted in this article can be viewed as an incremental eigenvalue solution for the spectral clustering method described by Ng.