Patrimony

The Louis Bachelier Group's patrimony has been defined as all the publications produced by academic researchers thanks to Group funding (ILB, FdR, IEF, Labex) or via the use of EquipEx data (BEDOFIH, EUROFIDAI).


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Sampling subspaces using determinantal point processes.

Dimensionality reduction, Interpolation, Kernel methods, Méthodes à noyau, Quadrature, Réduction de dimension

New methods for image classification, image retrieval and semantic correspondence.

Correspondance de région, Correspondance sémantique, Fisher vectors, Image representation, Image retrieval, Kernel methods, Modèle à noyaux, Neural networks, Recherche d’image, Region matching, Représentation d’image, Réseau de neurones, Semantic matching, Vecteurs de Fisher

Kernel Square-Loss Exemplar Machines for Image Retrieval.

Example-based, Image Search, Image retrieval, Kernel Methods, Méthode à noyaux, Recherche d'image

Quantifying uncertainty in asset management : Kernel methods and statistical fluctuations.

Concentration Inequalities, Covariance matrix estimation, Estimation de la matrice de covariance, Heavy tails, Inégalité de concentration, Kernel methods, Méthodes à noyau, Portfolio theory, Quantification d'incertitudes, Queues épaisses, Théorie du portefeuille, Uncertainty Quantification

Quantifying uncertainties in asset management: kernel methods and statistical fluctuations.

Concentration Inequalities, Covariance matrix estimation, Estimation de la matrice de covariance, Heavy tails, Inégalité de concentration, Kernel methods, Méthodes à noyau, Portfolio theory, Quantification d'incertitudes, Queues épaisses, Théorie du portefeuille, Uncertainty Quantification

Fast Rates for Structured Prediction.

Fast convergence rates, Generalization bounds, Kernel methods, Kernel ridge regression, Local averaging method, Low-density separation, Margin condition, Nearest neighbors, Structured prediction

Efficient online learning with kernels for adversarial large scale problems.

Kernel methods, Large scale, Online learning

Sampling from Arbitrary Functions via PSD Models.

Kernel methods, Machine learning, Sampling