Dr. rer. nat. Oleksandr Zadorozhnyi
Technical University of Munich
Chair of Mathematical Statistics (Prof. Drton)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
Place of employment
Chair of Mathematical Statistics (Prof. Drton)
Work:
Parkring 11-13(8101)/II
85748 Garching b. München
- Phone: (work pref) +49 (89) 289 - 17436
- Room: 8101.02.123
- oleksandr.zadorozhnyi(at)tum.de
Publications and preprints
Publications
- Y.Liang, O.Zadorozhnyi and M.Drton. Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models. To appear in the Proceedings of Probabilistic Graphical Models (PGM) 2024. Preprint avalaible at the following link.
- G.Blanchard, A.Carpentier and O.Zadorozhnyi. Moment inequalities for sums of weakly dependent random fields. Bernoulli 30(3) 2501-2520, 2024. http://dx.doi.org/10.3150/23-BEJ1682
- G. Blanchard and O.Zadorozhnyi. Concentration of weakly dependent Banach-valued sums and applications to kernel learning methods in Bernoulli 25 (4B), 3421-3458. 2019. https://projecteuclid.org/euclid.bj/1569398772
- O. Zadorozhnyi, G. Benecke, S. Mandt, T. Scheffer, and M. Kloft. Huber-Norm Regularization for Linear Prediction Models. Machine Learning and Knowledge Discovery in Databases (ECML PKDD), 714-730, 2016
Preprints
- O. Zadorozhnyi, G. Blanchard and A. Carpentier. Restless dependent bandits with fading memory. 2019. Preprint.
- L. Lefakis, O. Zadorozhnyi and G. Blanchard. Efficient Regularized Piecewise-Linear Regression Trees. 2019. Preprint.
- O.Zadorozhnyi, P. Gaillard, S. Gerchinovitz and A.Rudi. Online nonpametric regression with Sobolev kernels. 2021. Preprint.
Thesis