Search Results for author:
Found 6 papers, 0 papers with code
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms
We found that fairness-unaware algorithms typically fail to produce adequately fair models and that the simplest algorithms are not necessarily the fairest ones.
AUC Optimisation and Collaborative Filtering
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.
Online Matrix Completion Through Nuclear Norm Regularisation
It is the main goal of this paper to propose a novel method to perform matrix completion on-line.
An SIR Graph Growth Model for the Epidemics of Communicable Diseases
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.
Learning Reputation in an Authorship Network
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.
Efficient Eigen-updating for Spectral Graph Clustering
Namely, the method promoted in this article can be viewed as an incremental eigenvalue solution for the spectral clustering method described by Ng.
