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 firstname.lastname@example.org if you plan to participate.
|Time||Speaker and title||Room|
|11:00||Vladimir Koltchinskii (Georgia Institute of Technology, Atlanta): Error bounds in low rank matrix recovery||H4|
|12:00||Coffee break||12:20||Ulrike von Luxburg (University of Hamburg): Convergence of Hitting Times and Commute Distances on Random Geometric Graphs||H2|
|12:40||Angelika Rohde (University of Hamburg): Estimation of High-Dimensional Low-Rank Matrices||H2|
|14:40||Richard Nickl (University of Cambridge): Wavelet density estimators on compact manifolds. From concentration to adaptation||H4|
|15:40||Natalie Neumeyer (University of Hamburg): The residual-based empirical process in nonparametric multiple regression||H4|
|16:20||Thorsten Dickhaus (Humboldt University Berlin): Multiple testing under structural assumptions||H1|
|16:40||Vladimir Spokoiny (Humboldt University and WIAS, Berlin): Structure adaptive estimation by alternating||H1|
|17:00||Alexander Meister (University of Rostock): Asymptotic equivalence for nonparametric regression with non-regular errors||H1|
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.