17 citations
- Biostatistique et processus spatiauxFR1 paper
- Centre de Recherche en InformatiqueFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Institut de Recherche Technologique SystemXFR1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR1 paper
- Laboratoire de Mathématiques Blaise PascalFR1 paper
- Laboratoire de Mathématiques Nicolas OresmeFR1 paper
- La Trobe UniversityAU1 paper
- Signify (Netherlands)NL1 paper
- Université Grenoble AlpesFR1 paper
4 papers
Cold Posteriors through PAC-Bayes
Konstantinos Pitas, Julyan Arbel
We investigate the cold posterior effect through the lens of PAC-Bayes generalization bounds. We argue that in the non-asymptotic setting, when the number of training samples is (r…
Dependence between Bayesian neural network units
Mariia Vladimirova, Julyan Arbel, Stéphane Girard
The connection between Bayesian neural networks and Gaussian processes gained a lot of attention in the last few years, with the flagship result that hidden units converge to a Gau…
LP-based policies for restless bandits: necessary and sufficient conditions for (exponentially fast) asymptotic optimality
Nicolas Gast, Bruno Gaujal, Chen Yan
We provide a framework to analyse control policies for the restless Markovian bandit model, under both finite and infinite time horizon. We show that when the population of arms go…
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi +1
Mixture of experts (MoE) are a popular class of statistical and machine learning models that have gained attention over the years due to their flexibility and efficiency. In this w…