Chair in applied mathematics OQUAIDO Activity report
Résumé
The research Chair OQUAIDO - for "Optimisation et QUAntification d'Incertitudes pour les Données Onéreuses" in French - gathers academic and technological research partners to work on statistical learning problems involving scarce and error-prone data. This Chair, was created in January 2016 for a period of 5 years. It has tackled problems where small data is described by statistical models that, in turn, serve to characterize uncertainties, calibrate computer codes and search for optimal configurations. Many of the investigated approaches rely on Gaussian processes and confront mathematical challenges such as high dimension (even functional inputs / outputs), mixed continuous and categorical inputs, specific constraints and medium data. This activity report highlights noticeable scientific contributions of OQUAIDO, provides bibliography indicators and summarizes the events that have marked the research Chair life. It is concluded by a few lessons on collaborative projects at the intersection between mathematics and engineering that were learnt during these 5 years.
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