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Number of items: 4.

Machkour, J. and Muma, M. and Alt, B. and Zoubir, A. M. (2020):
A Robust Adaptive Lasso Estimator for the Independent Contamination Model.
In: Signal Processing, 174p. 107608, ISSN 0165-1684,
DOI: 10.1016/j.sigpro.2020.107608,
[Online-Edition: http://www.sciencedirect.com/science/article/pii/S0165168420...],

KhudaBukhsh, W. R. and Kar, S. and Alt, B. and Rizk, A. and Koeppl, H. (2020):
Generalized Cost-Based Job Scheduling in Very Large Heterogenous Cluster Systems.
In: IEEE Transactions on Parallel and Distributed Systems (TPDS), (11), 31. IEEE, pp. 2594-2604, ISSN 1045-9219, e-ISSN 1045-9219,
DOI: 10.1109/TPDS.2020.2997771,
[Online-Edition: https://ieeexplore.ieee.org/document/9099971],

Alt, B. and Šošić, A. and Koeppl, H. (2019):
Correlation Priors for Reinforcement Learning.
In: 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Kanada, 09.12.-13.12.2019, [Online-Edition: https://papers.nips.cc/paper/9564-correlation-priors-for-rei...],
[Conference or Workshop Item]

Machkour, J. and Alt, B. and Muma, M. and Zoubir, A. M. (2017):
The Outlier-Corrected-Data-Adaptive Lasso: A New Robust Estimator for the Independent Contamination Model.
In: European Signal Processing Conference 2017 (EUSIPCO 2017), Kos, Greece, 28.08.-02.09., pp. 1699-1703, DOI: 10.23919/EUSIPCO.2017.8081489,
[Online-Edition: http://ieeexplore.ieee.org/document/8081489/],
[Conference or Workshop Item]

This list was generated on Tue Sep 22 01:34:41 2020 CEST.