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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Regularization methods for prediction in dynamic graphs and e-marketing applications.

Apprentissage statistique, Link prediction, Machine learning, Méthodes régularisées, Prédiction de lien, Regularization methods

Structured prediction for sequential data analysis.

Alignement musique sur partition, Apprentissage, Apprentissage de métrique, Déformation temporelle, Faible supervision, Machine learning, Metric learning, Music to partition alignment, Prédiction structurée, Structured prediction, Time warping, Weak supervision

Convex optimization for cosegmentation.

Apprentissage supervisé, Convex optimization, Image, Machine learning, Optimisation convexe, Segmentation, Vision

Learning structured models on weighted graphs, with applications to spatial data analysis.

Analyse de données spatiales, Apprentissage machine, Graphical models, Machine learning, Modèles graphiques, Mumford-Shah, Optimisation structurée, Spatial data analysis, Structured optimization, Total variation, Variation totale

Structured sparsity-inducing norms : statistical and algorithmic properties with applications to neuroimaging.

Apprentissage statistique, Convex optimization, Machine learning, Optimisation convexe, Parcimonie structurée, Structured sparcity

Sparse and Spurious: Dictionary Learning With Noise and Outliers.

Dictionaries, Machine Learning, Signal Representations, Sparse matrices

Large-Margin Metric Learning for Constrained Partitioning Problems.

Change-point detection, Clustering, Image Segmentation, Machine Learning, Metric Learning

Metric Learning for Temporal Sequence Alignment.

Dynamic time warping, Frank-Wolfe, Machine learning, Music information, Optimization, Score following, Structured prediction

Theoretical study of some statistical procedures applied to complex data.

Bayesian Inference, Compl?tion de matrices, Computational Statistics, Extr?mes spatiaux, Inf?rence bay?sienne, Machine Learning, Matrix Completion, Spatial Extremes, Statistics, Statistiques, Statistiques computationnelle

Interest rates modeling for insurance : interpolation, extrapolation, and forecasting.

Apprentissage, Courbe de taux, Forecasting, Interest rates, Machine learning, Multivariate time series, Prédiction, Statistique, Séries temporelles, Taux d'intérêt, Yield curve

Artificial intelligence algorithms in quantitative finance

Apprentissage machine, Apprentissage profond, Artificial intelligence, Calibration profonde, Changement de régime, Deep calibration, Deep learning, Deep pricing, Intelligence artificielle, Machine learning, Regime switching, Valorisation profonde

Machine learning algorithms in insurance: solvency, textmining, anonymization and transparency.

Actuarial Science, Analyse Sémantique, Anonimysation, Anonimyzation, Apprentissage statistique, Machine Learning, Ocr, Science actuarielle, Text Mining, Transparence, Transparency