39 citations · 83 across the 6 of their papers we have counts for
7 papers
The Majority Vote Paradigm Shift: When Popular Meets Optimal
Antonio Purificato, Maria Sofia Bucarelli, Anil Kumar Nelakanti +3
Reliably labelling data typically requires annotations from multiple human workers. However, humans are far from being perfect. Hence, it is a common practice to aggregate labels g…
Unsupervised domain adaptation with non-stochastic missing data
Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy +1
We consider unsupervised domain adaptation (UDA) for classification problems in the presence of missing data in the unlabelled target domain. More precisely, motivated by practical…
Deep Character-Level Click-Through Rate Prediction for Sponsored Search
Bora Edizel, Amin Mantrach, Xiao Bai
Predicting the click-through rate of an advertisement is a critical component of online advertising platforms. In sponsored search, the click-through rate estimates the probability…
Dynamic Matrix Factorization with Priors on Unknown Values
Robin Devooght, Nicolas Kourtellis, Amin Mantrach
Advanced and effective collaborative filtering methods based on explicit feedback assume that unknown ratings do not follow the same model as the observed ones (\emph{not missing a…
Evolution of Conversations in the Age of Email Overload
Farshad Kooti, Luca Maria Aiello, Mihajlo Grbovic +2
Email is a ubiquitous communications tool in the workplace and plays an important role in social interactions. Previous studies of email were largely based on surveys and limited t…
A bag-of-paths framework for network data analysis
Kevin Françoisse, Ilkka Kivimäki, Amin Mantrach +2
This work develops a generic framework, called the bag-of-paths (BoP), for link and network data analysis. The central idea is to assign a probability distribution on the set of al…
The Sum-over-Forests density index: identifying dense regions in a graph
Mathieu Senelle, Silvia Garcia-Diez, Amin Mantrach +3
This work introduces a novel nonparametric density index defined on graphs, the Sum-over-Forests (SoF) density index. It is based on a clear and intuitive idea: high-density region…