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Lukas Zierahn
Lukas Zierahn
Verified email at unimi.it - Homepage
Title
Cited by
Cited by
Year
Nonstochastic contextual combinatorial bandits
L Zierahn, D van der Hoeven, N Cesa-Bianchi, G Neu
International Conference on Artificial Intelligence and Statistics, 8771-8813, 2023
22023
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs
D van der Hoeven, L Zierahn, T Lancewicki, A Rosenberg, ...
The Thirty Sixth Annual Conference on Learning Theory, 1285-1321, 2023
2023
Overreacting Algorithms in Financial Markets
C Gerner-Beuerle, L Zierahn
Available at SSRN 4057171, 2022
2022
PyChEst: a Python package for the consistent retrospective estimation of distributional changes in piece-wise stationary time series
A Khaleghi, L Zierahn
arXiv preprint arXiv:2112.10565, 2021
2021
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Articles 1–4