CORDIS Project
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This project focuses on optimizing sampling methods for complex probability distributions, particularly in infinite-dimensional spaces. By leveraging tools from optimal transport and information geometry, it aims to create efficient techniques for generating new data in applications like Bayesian machine learning and g…
Optimization over probability measures has become a powerful approach for solving complex problemsthat involve probabilistic modeling.
Advanced by the PI and collaborators, it extends finite-dimensionaloptimization to the infinite-dimensional space of probability measures.
This framework provides a princi-pled way to address in particular the task of sampling, that refers to the process of drawing samples froma complex probability distribution, either to approximate it or generate new data.
In B…
GENES GPE ECOLES NAT ECONOMIE STATISTIQU
GROUPE DES ECOLES NATIONALES D ECONOMIE ET STATISTIQUE
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