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Oleksandr Zadorozhnyi

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2020 – today

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2024
[i4]
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  - journals/corr/abs-2408-10976
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Yurou Liang, Oleksandr Zadorozhnyi, Mathias Drton:
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models. CoRR abs/2408.10976 (2024)
2021
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Oleksandr Zadorozhnyi:
Contributions to the theoretical analysis of the algorithms with adversarial and dependent data. University of Potsdam, Germany, 2021, pp. 1-144
[i3]
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  - journals/corr/abs-2102-03594
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Oleksandr Zadorozhnyi, Pierre Gaillard, Sébastien Gerchinovitz, Alessandro Rudi:
Online nonparametric regression with Sobolev kernels. CoRR abs/2102.03594 (2021)

2010 – 2019

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2019
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  - journals/corr/abs-1906-10454
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Oleksandr Zadorozhnyi, Gilles Blanchard, Alexandra Carpentier:
Restless dependent bandits with fading memory. CoRR abs/1906.10454 (2019)
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  - journals/corr/abs-1907-00275
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Leonidas Lefakis, Oleksandr Zadorozhnyi, Gilles Blanchard:
Efficient Regularized Piecewise-Linear Regression Trees. CoRR abs/1907.00275 (2019)
2016
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  - conf/pkdd/ZadorozhnyiBMSK16
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Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft:
Huber-Norm Regularization for Linear Prediction Models. ECML/PKDD (1) 2016: 714-730

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