research
∙
08/02/2022
UniRank: Unimodal Bandit Algorithm for Online Ranking
We tackle a new emerging problem, which is finding an optimal monopartit...
share
research
∙
08/02/2022
Unimodal Mono-Partite Matching in a Bandit Setting
We tackle a new emerging problem, which is finding an optimal monopartit...
research
∙
08/02/2022
s-LIME: Reconciling Locality and Fidelity in Linear Explanations
The benefit of locality is one of the major premises of LIME, one of the...
research
∙
09/28/2020
Position-Based Multiple-Play Bandits with Thompson Sampling
Multiple-play bandits aim at displaying relevant items at relevant posit...
research
∙
03/02/2016
Hybrid Collaborative Filtering with Autoencoders
Collaborative Filtering aims at exploiting the feedback of users to prov...
research
∙
08/25/2015
AUC Optimisation and Collaborative Filtering
In recommendation systems, one is interested in the ranking of the predi...
research
∙
07/10/2014
Bandits Warm-up Cold Recommender Systems
We address the cold start problem in recommendation systems assuming no ...
research
∙
01/10/2014
Online Matrix Completion Through Nuclear Norm Regularisation
It is the main goal of this paper to propose a novel method to perform m...
research
∙
01/07/2013
