3 citations
- International University of Fundamental StudiesRU3 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR3 papers
- Institute of ArcheologyUA2 papers
- Institut Universitaire de FranceFR2 papers
- Laboratoire de Mathématiques d'OrsayFR2 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR2 papers
- Centre de Recherche en Mathématiques de la DécisionFR1 paper
- Département d'InformatiqueFR1 paper
- École Normale Supérieure - PSLFR1 paper
- Électricité de France (France)FR1 paper
- Institut de FranceFR1 paper
- Institut National Polytechnique de ToulouseFR1 paper
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stat.ML2025
Fast kernel methods: Sobolev, physics-informed, and additive models
Nathan Doumèche, Francis Bach, Gérard Biau +1
Kernel methods are powerful tools in statistical learning, but their cubic complexity in the sample size n limits their use on large-scale datasets. In this work, we introduce a sc…
stat.ML2025
Forecasting time series with constraints
Nathan Doumèche, Francis Bach, Éloi Bedek +3
Time series forecasting presents unique challenges that limit the effectiveness of traditional machine learning algorithms. To address these limitations, various approaches have in…