researcher / Francis Bach

Francis Bach

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Disciplines:

Applied mathematics
Cognitive sciences
Computer sciences
Mathematics
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Directed Thesis:

On efficient methods for high-dimensional statistical estimation
On the parameter learning for Perturb-and-MAP models
Asynchronous optimization for machine learning
Acceleration in optimization
Expert-in-the-loop supervised learning for computer security detection systems
New methods for image classification, image retrieval and semantic correspondence
Stochastic approximation in Hilbert spaces
Stochastic approximation and least-squares regression, with applications to machine learning
Inference and applications for topic models
Sur la méthode des moments pour l'estimation des modèles à variables latentes
ABX-discriminability measures and applications
On the Links between Probabilistic Graphical Models and Submodular Optimisation
Learning structured models on weighted graphs, with applications to spatial data analysis
Prédiction structurée pour l’analyse de données séquentielles
Feature extraction and supervised learning on fMRI : from practice to theory
Convex and spectral relaxations for phase retrieval, seriation and ranking
Modélisation du langage à l'aide de pénalités structurées
A Markovian approach to distributional semantics
Apprentissage statistique multi-tâches
Convex optimization for cosegmentation
Learning algorithms and statistical software, with applications to bioinformatics
Dictionary learning methods for single-channel source separation
Structured sparsity-inducing norms : statistical and algorithmic properties with applications to neuroimaging
Sparse coding for machine learning, image processing and computer vision