2 citations · 3 across the 4 of their papers we have counts for
4 papers
On regularized Radon-Nikodym differentiation
Duc Hoan Nguyen, Werner Zellinger, Sergei V. Pereverzyev
We discuss the problem of estimating Radon-Nikodym derivatives. This problem appears in various applications, such as covariate shift adaptation, likelihood-ratio testing, mutual i…
General regularization in covariate shift adaptation
Duc Hoan Nguyen, Sergei V. Pereverzyev, Werner Zellinger
Sample reweighting is one of the most widely used methods for correcting the error of least squares learning algorithms in reproducing kernel Hilbert spaces (RKHS), that is caused…
A rational conjugate gradient method for linear ill-conditioned problems
Stefan Kindermann, Werner Zellinger
We consider linear ill-conditioned operator equations in a Hilbert space setting. Motivated by the aggregation method, we consider approximate solutions constructed from linear com…
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck +7
We study the problem of choosing algorithm hyper-parameters in unsupervised domain adaptation, i.e., with labeled data in a source domain and unlabeled data in a target domain, dra…