In recent years new methods to gain efficiency by using structures in complex infinite dimensional models have attracted much attention. To mention just two examples, the recovery of sparse signals or matrices and the adaptive estimation of functions of unknown regularity are particular active fields of research.
On April 18 a workshop devoted to such problems of structural inference will take place at the Department of Mathematics of the University of Hamburg. The two main speakers are Vladimir Koltchinskii (Georgia Institute of Technology, Atlanta), a leading expert in sparse recovery problems and adaptation, and Richard Nickl (University of Cambridge), who is renowned for his contribution of empirical process theory and its application to adaptive estimation. Below you find a preliminary program, which will be regularly updated.
The participation is for free and everyone is heartily invited. However, to facilitate the organization of this one-day workshop, please send an e-mail with the subject Structural Inference Day to holger.drees@uni-hamburg.de if you plan to participate.
Here you will find a description (in German) how to come to Department of Mathematics by public transport.
On an interactive map of the campus of the University of Hamburg
the so-called Geomatikum (Bundesstr. 55, 20146 Hamburg)
where the workshop will take place is indicated.