Project-team BONUS Big Optimization aNd Ultra-Scale Computing Being ubiquitous to countless modern engineering and scientic applications, big optimization...
Project-team CELESTE mathematical statistics and learning Data science – a vast field including statistics, machine learning, signal processing, data...
Project-team GEOSTAT Geometry and Statistics in acquisition data GeoStat projecting makes fundamental and applied research on new non linear methods for the analysis...
Project-team INOCS INtegrated Optimization with Complex Structure An optimization problem consists in finding a best solution from a set of feasible solutions. Such a...
Project-team MAASAI Models and Algorithms for Artificial Intelligence Maasai is a research project-team at Inria Sophia-Antipolis, working on the models and algorithms of...
Project-team MODAL MOdel for Data Analysis and Learning The main focus of MODAL is to design generative models dealing with complex multivariate and/or...
Project-team RANDOPT Randomized Optimization The RandOpt team at Inria's Saclay - Ile-de-France research center, joint team with the CMAP at...
Project-team SCOOL Sequential decision making under uncertainty problem The scientific project of Scool is focussed on sequential decision making under uncertainty. In...
Project-team SIERRA Statistical Machine Learning and Parsimony Machine learning is a recent scientific domain, positioned between applied mathematics, statistics...
Project-team STATIFY Bayesian and extreme value statistical models for structured and high dimensional data The STATIFY team specializes in the statistical modeling of systems involving data with a complex...
Project-team TAU TAckling the Underspecified Building upon the expertise in machine learning (ML) and stochastic optimization of the late TAO...
