92 citations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR5 papers
- Institut de Mathématiques de ToulouseFR3 papers
- Université Toulouse III - Paul SabatierFR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institut National de la Recherche AgronomiqueMA2 papers
- Institut National des Sciences Appliquées de ToulouseFR2 papers
- Aalto UniversityFI1 paper
- ACUMES: Algorithmes et Biologie StructuraleFR1 paper
- Centre Inria d'Université Côte d'AzurFR1 paper
- École Normale Supérieure de LyonFR1 paper
- Institut Polytechnique de ParisFR1 paper
- Laboratoire Jean-Alexandre DieudonnéFR1 paper
6 papers
Learning Output Embeddings in Structured Prediction
Luc Brogat-Motte, Alessandro Rudi, Céline Brouard +2
A powerful and flexible approach to structured prediction consists in embedding the structured objects to be predicted into a feature space of possibly infinite dimension by means…
Mean number and correlation function of critical points of isotropic Gaussian fields and some results on GOE random matrices
Jean-Marc Azais, Céline Delmas
Let be an isotropic Gaussian random field with real values.In a first part we study the mean number of critical points of $\mathcal{X…
Applicability and Interpretability of Hierarchical Agglomerative Clustering With or Without Contiguity Constraints
Nathanaël Randriamihamison, Nathalie Vialaneix, Pierre Neuvial
Hierarchical Agglomerative Classification (HAC) with Ward's linkage has been widely used since its introduction in Ward (1963). The present article reviews the different extensions…
R-miss-tastic: a unified platform for missing values methods and workflows
Imke Mayer, Aude Sportisse, Julie Josse +2
Missing values are unavoidable when working with data. Their occurrence is exacerbated as more data from different sources become available. However, most statistical models and vi…
X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks
Léonard Torossian, Aurélien Garivier, Victor Picheny
We propose and analyze StoROO, an algorithm for risk optimization on stochastic black-box functions derived from StoOO. Motivated by risk-averse decision making fields like agricul…
The Kalai-Smorodinski solution for many-objective Bayesian optimization
Mickaël Binois, Victor Picheny, Patrick Taillandier +1
An ongoing aim of research in multiobjective Bayesian optimization is to extend its applicability to a large number of objectives. While coping with a limited budget of evaluations…