6 citations
- Laboratoire Hubert CurienFR4 papers
- Centre de Résonance Magnétique des Systèmes BiologiquesFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Chimie et Biologie des Membranes et des NanoobjectsFR1 paper
- Institut Européen de Chimie et BiologieFR1 paper
- Institut Polytechnique de BordeauxFR1 paper
- Laboratoire de Chimie des Polymères OrganiquesFR1 paper
- MODAL: MOdel for Data Analysis and LearningFR1 paper
- PHENIX laboratoryFR1 paper
- Regenerative Medical Solutions (United States)US1 paper
- SIERRA: Apprentissage Statistique et optimisationFR1 paper
- Sorbonne UniversitéFR1 paper
6 papers
Metric Learning from Imbalanced Data
Léo Gautheron, Emilie Morvant, Amaury Habrard +1
A key element of any machine learning algorithm is the use of a function that measures the dis/similarity between data points. Given a task, such a function can be optimized with a…
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
Gaël Letarte, Emilie Morvant, Pascal Germain
We revisit Rahimi and Recht (2007)'s kernel random Fourier features (RFF) method through the lens of the PAC-Bayesian theory. While the primary goal of RFF is to approximate a kern…
Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
Anil Goyal, Emilie Morvant, Massih-Reza Amini
We tackle the issue of classifier combinations when observations have multiple views. Our method jointly learns view-specific weighted majority vote classifiers (i.e. for each view…
PAC-Bayesian Analysis for a two-step Hierarchical Multiview Learning Approach
Anil Goyal, Emilie Morvant, Pascal Germain +1
We study a two-level multiview learning with more than two views under the PAC-Bayesian framework. This approach, sometimes referred as late fusion, consists in learning sequential…
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers
Pascal Germain, Amaury Habrard, François Laviolette +1
In this paper, we provide two main contributions in PAC-Bayesian theory for domain adaptation where the objective is to learn, from a source distribution, a well-performing majorit…
Doxorubicin Loaded Magnetic Polymersomes: Theranostic Nanocarriers for MR Imaging and Magneto-Chemotherapy
Charles Sanson, Odile Diou, Julie Thevenot +10
Hydrophobically modified magnetic nanoparticles (MNPs) were encapsulated within the membrane of poly(trimethylene carbonate)-b-poly(L-glutamic acid) (PTMC-b-PGA) block copolymer ve…