Inverse Problems in Learning Theory

Chairs: S.Pereverzyev Jr, L. Rosasco

Speakers:

Sergiy Pereverzyev Jr,
pereverzyev (at) indmath (dot) uni-linz (dot) ac (dot) at
Industrial Mathematics Institute, Johannes Kepler University of Linz, Austria
Dual regularized total least squares for the prediction problem in learning theory

Sivananthan Sampath,
sivananthan.sampath (at) oeaw (dot) ac (dot) at
RICAM, Linz, Austria
Adaptive Kernel selection in learning algorithm via regularization

Shuai Lu,
shuai.lu (at) oeaw (dot) ac (dot) at
RICAM, Linz, Austria
Multiparameter regularization and its application in learning from labeled and unlabeled examples

Jochen Krebs,
j.krebs (at) num (dot) uni-sb (dot) de
Institute of Applied Mathematics, University of Saarland, Saarbruecken, Germany
Kernel methods for function reconstruction from transformed data

Jochen Garcke,
garcke (at) math (dot) tu-berlin (dot) de
Institut fuer Mathematik, Technische Universitaet Berlin, Germany
Dimension adaptive sparse grids for machine learning

Ernesto De Vito
devito(at)dima(dot)unige(dot)it
Dipartimento di Matematica, Universita degli Studi di Genova, Italy
Spectral methods for learning high dimensional data