Search Results for author: Sergei Pereverzyev

Found 3 papers, 2 papers with code

On regularized polynomial functional regression

no code implementations6 Nov 2023 Markus Holzleitner, Sergei Pereverzyev

This article offers a comprehensive treatment of polynomial functional regression, culminating in the establishment of a novel finite sample bound.

regression

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

1 code implementation2 May 2023 Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard A. Moser, Sergei Pereverzyev, Sepp Hochreiter, Werner Zellinger

Our method outperforms deep embedded validation (DEV) and importance weighted validation (IWV) on all datasets, setting a new state-of-the-art performance for solving parameter choice issues in unsupervised domain adaptation with theoretical error guarantees.

Unsupervised Domain Adaptation

The balancing principle for parameter choice in distance-regularized domain adaptation

1 code implementation NeurIPS 2021 Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Nguyen, Bernhard Nessler, Sergei Pereverzyev, Bernhard A. Moser

Our approach starts with the observation that the widely-used method of minimizing the source error, penalized by a distance measure between source and target feature representations, shares characteristics with regularized ill-posed inverse problems.

Unsupervised Domain Adaptation

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