174 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institut national de recherche en sciences et technologies du numériqueFR146 papers
- Université de LilleFR64 papers
- Centre National de la Recherche ScientifiqueFR49 papers
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR41 papers
- Centre de Recherche en InformatiqueFR30 papers
- École Centrale de LilleFR19 papers
- Laboratoire d'Informatique Fondamentale de LilleFR18 papers
- Laboratoire Paul PainlevéFR17 papers
- University College LondonGB16 papers
- Université Libre de BruxellesBE11 papers
- Université Paris-SaclayFR11 papers
- University of LondonGB9 papers
4 papers · 2 filters
Multi-Task Determinantal Point Processes for Recommendation
Romain Warlop, Jérémie Mary, Mike Gartrell
Determinantal point processes (DPPs) have received significant attention in the recent years as an elegant model for a variety of machine learning tasks, due to their ability to el…
KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints
Aurélien Garivier, Hédi Hadiji, Pierre Menard +1
We consider -armed stochastic bandits and consider cumulative regret bounds up to time . We are interested in strategies achieving simultaneously a distribution-free regret b…
Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles
John Klein, Mahmoud Albardan, Benjamin Guedj +1
We examine a network of learners which address the same classification task but must learn from different data sets. The learners cannot share data but instead share their models.…
Distributed Adaptive Sampling for Kernel Matrix Approximation
Daniele Calandriello, Alessandro Lazaric, Michal Valko
Most kernel-based methods, such as kernel or Gaussian process regression, kernel PCA, ICA, or -means clustering, do not scale to large datasets, because constructing and storing…