David Ginsbourger

My research is mainly about adaptive strategies for approximating, optimizing, and inverting functions (e.g., numerical simulators) under severely limited evaluation budgets. This recent but very active field of applied mathematics is at a crossroad between functional approximation, numerical optimization, computer experiments, and machine learning. In the past few years, I have been focusing on the following topics:

A publication list as well as further documents are available here.