English

Köhs, L. ; Alt, B. ; Koeppl, H. (2022):
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems.
pp. 11430-11454, 39th International Conference on Machine Learning, Baltimore, USA, 17.-23.07.2022, [Conference or Workshop Item]

Köhs, L. ; Alt, B. ; Koeppl, H. (2021):
Variational Inference for Continuous-Time Switching Dynamical Systems.
35th Conference on Neural Information Processing Systems, virtual Conference, 06.-14.12.2021, [Conference or Workshop Item]

Alt, B. ; Schultheis, M. ; Koeppl, H. (2020):
POMDPs in Continuous Time and Discrete Spaces.
In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020),
34th Conference on Neural Information Processing Systems, virtual Conference, 06.-12.12.2020, [Conference or Workshop Item]

Machkour, J. ; Muma, M. ; Alt, B. ; Zoubir, A. M. (2020):
A Robust Adaptive Lasso Estimator for the Independent Contamination Model.
In: Signal Processing, 174, Elsevier ScienceDirect, ISSN 01651684,
DOI: 10.1016/j.sigpro.2020.107608,
[Article]

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

Alt, B. ; Šošić, A. ; Koeppl, H. (2019):
Correlation Priors for Reinforcement Learning.
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Kanada, 09.12.-13.12.2019, [Conference or Workshop Item]

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