Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences; Institute of Computational Perception, Johannes Kepler University Linz; Institute for Machine Learning, Johannes Kepler University Linz; Software Competence Center Hagenberg GmbH
Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei Pereverzyev, Bernhard A. Moser
domain shift;unsupervised domain adaptation;model selection;regularization;inverse problem
The balancing principle for parameter choice in distance-regularized domain adaptation