Workshop description
The core question of information-based complexity (IBC) is: How many pieces of information are required to solve a (numerical) problem up to a prescribed error tolerance? The problems considered are manifold, including function approximation and learning, numerical integration, optimization, or the solution of PDEs and SDEs. The available information might be given by exact or noisy function values or other types of samples. It is of particular interest how the complexity increases with the dimensionality of the problem (cf. curse of dimensionality versus tractability) and with the desired accuracy (cf. rate of convergence). In view of the recent accomplishments of machine learning, another hot topic in IBC is the question in which situations the power of passive sampling (like iid samples) is comparable to the power of active sampling. We welcome anyone with similar interests to join us for fruitful discussions.
Speakers
Semi-plenary speakers
- Sonnleitner, Mathias - University of Passau, Germany
- Vybiral, Jan - TU Prague, Czech Republic
Invited speakers
- Bochacik, Tomasz - AGH UST Cracow, Poland
- Dolbeault, Matthieu - ENS Paris, France
- Gnewuch, Michael - University of Osnabrück, Germany
- Goda, Takashi - University of Tokyo, Japan
- Heinrich, Stefan - University of Kaiserslautern, Germany
- Kaluza, Andrzej - AGH UST Cracow, Poland
- Kritzer, Peter - RICAM Linz, Austria
- Kühn, Thomas - University of Leipzig, Germany
- Nuyens, Dirk - KU Leuven, Belgium
- Plaskota, Leszek - University of Warsaw, Poland
- Ritter, Klaus - University of Kaiserslautern, Germany
- Rudolf, Daniel - University of Passau, Germany
- Salimova, Diyora - ETH Zürich, Switzerland
- Sickel, Winfried - University of Jena, Germany
- Siedleczki, Pawel - University of Warsaw, Poland
- Sloan, Ian - UNSW Sydney, Australia
- Temlyakov, Vladimir - University of South Carolina, USA
- Ullrich, Mario - JKU Linz, Austria
- Wang, Heping - CNU Beijing, China
- Zani, Marguerite - Orleans University, France
Poster contributors
To be announced.