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08/02/2022
UniRank: Unimodal Bandit Algorithm for Online Ranking
We tackle a new emerging problem, which is finding an optimal monopartit...
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research
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08/02/2022
Unimodal Mono-Partite Matching in a Bandit Setting
We tackle a new emerging problem, which is finding an optimal monopartit...
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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...
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09/28/2020
Position-Based Multiple-Play Bandits with Thompson Sampling
Multiple-play bandits aim at displaying relevant items at relevant posit...
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03/02/2016
Hybrid Collaborative Filtering with Autoencoders
Collaborative Filtering aims at exploiting the feedback of users to prov...
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08/25/2015
AUC Optimisation and Collaborative Filtering
In recommendation systems, one is interested in the ranking of the predi...
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07/10/2014
Bandits Warm-up Cold Recommender Systems
We address the cold start problem in recommendation systems assuming no ...
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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...
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01/07/2013