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- Laboratoire de Mathématiques et Modélisation d'ÉvryFR24 papers
- Laboratoire de Mathématiques Blaise PascalFR16 papers
- Centre National de la Recherche ScientifiqueFR13 papers
- Centre d'études et de recherche en informatique et communicationsFR12 papers
- Centre BorelliFR9 papers
- Université Paris-SaclayFR9 papers
- Institut Polytechnique de ParisFR6 papers
- Laboratoire Interdisciplinaire des Sciences du NumériqueFR6 papers
- Université d'Évry Val-d'EssonneFR6 papers
- Conservatoire National des Arts et MétiersFR5 papers
- École PolytechniqueFR5 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
5 papers · 1 filter
Learning conditional distributions on continuous spaces
Cyril Bénézet, Ziteng Cheng, Sebastian Jaimungal
We investigate sample-based learning of conditional distributions on multi-dimensional unit boxes, allowing for different dimensions of the feature and target spaces. Our approach…
Conformal Approach To Gaussian Process Surrogate Evaluation With Coverage Guarantees
Edgar Jaber, Vincent Blot, Nicolas Brunel +6
Gaussian processes (GPs) are a Bayesian machine learning approach widely used to construct surrogate models for the uncertainty quantification of computer simulation codes in indus…
Adaptive Conformal Prediction by Reweighting Nonconformity Score
Salim I. Amoukou, Nicolas J. B Brunel
Despite attractive theoretical guarantees and practical successes, Predictive Interval (PI) given by Conformal Prediction (CP) may not reflect the uncertainty of a given model. Thi…
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Salim I. Amoukou, Nicolas J. B Brunel
Counterfactual Explanations (CE) face several unresolved challenges, such as ensuring stability, synthesizing multiple CEs, and providing plausibility and sparsity guarantees. From…
Sparsity by Worst-Case Penalties
Yves Grandvalet, Julien Chiquet, Christophe Ambroise
This paper proposes a new interpretation of sparse penalties such as the elastic-net and the group-lasso. Beyond providing a new viewpoint on these penalization schemes, our approa…