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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Language modeling using structured penalties.

Apprentissage automatique, Classification hiérarchique, Convex optimization, Modélisation probabiliste, Natural language processing, Optimisation convexe, Statistique, Traitement du langage naturel

Stochastic approximation in Hilbert spaces.

Apprentissage supervisé, Approximation stochastique, Convex optimization, Espaces de Hilbert à noyaux reproduisants, Estimation non-paramétrique, Nonparametric estimation, Optimisation convexe, Reproducing kernel Hilbert spaces, Stochastic approximation, Supervised learning

Convex optimization for cosegmentation.

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

Sparse coding for machine learning, image processing and computer vision.

Apprentissage statistique, Convex optimization, Dictionary learning, Image denoising, Images features, Représentation parcimonieuse, Sparse coding, Sparsity, Traitement d'image

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression.

Accelerated gra- dient, Convex optimization, Least-squares regression, Non-parametric estimation, Stochastic gradient

Learning algorithms and statistical software, with applications to bioinformatics.

Apprentissage, Bioinformatics, Bioinformatique, Convex optimization, Learning algorithms, Optimisation convexe

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

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

Stochastic approximation and least-squares regression, with applications to machine learning.

Acceleration, Accélération, Algorithme dual moyenné, Apprentissage de permutation, Approximation stochastique, Averaging, Contraintes de forme, Convex optimization, Convex relaxation, Descente miroire, Discriminative clustering, Dual averaging, Estimation minimax, Gradient stochastique, Least-squares regression, Minimax estimation, Mirror descent, Moyennage, Optimisation convexe, Parcimonie, Partionnement discriminatif, Permutation learning, Relaxation convexe, Régression par moindres carrés, Shape constraints, Sparsity, Statistical seriation, Stochastic approximation, Stochastic gradient, Sériation statistique

Stochastic Composite Least-Squares Regression with Convergence Rate O(1/n).

Accelerated gra- dient, Convex optimization, Least-squares regression, Non-parametric estimation, Stochastic gradient

Statistical learning for event sequences using point processes.

Causalit?, Causality, Convex optimization, Finance quantitative, Optimisation convexe, Point processes, Processus ponctuels, Quantitative finance

Unbalanced Optimal Transport: Geometry and Kantorovich Formulation.

Convex optimization, Fisher-Rao, Optimal transport, Wasserstein

Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions.

Convex Optimization, Decentralized Algorithms, Gossip Protocols, Machine Learning