Köhs, L. ; Alt, B. ; Koeppl, H. (2022)
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems.
39th International Conference on Machine Learning. Baltimore, USA (17.07.2022-23.07.2022)
Konferenzveröffentlichung, Bibliographie

Köhs, L. ; Alt, B. ; Koeppl, H. (2021)
Variational Inference for Continuous-Time Switching Dynamical Systems.
35th Conference on Neural Information Processing Systems. virtual Conference (06.12.2021-14.12.2021)
Konferenzveröffentlichung, Bibliographie

Alt, B. ; Schultheis, M. ; Koeppl, H. (2020)
POMDPs in Continuous Time and Discrete Spaces.
34th Conference on Neural Information Processing Systems. virtual Conference (06.12.2020-12.12.2020)
Konferenzveröffentlichung, Bibliographie

Machkour, J. ; Muma, M. ; Alt, B. ; Zoubir, A. M. (2020)
A Robust Adaptive Lasso Estimator for the Independent Contamination Model.
In: Signal Processing, 174
doi: 10.1016/j.sigpro.2020.107608
Artikel, Bibliographie

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)
doi: 10.1109/TPDS.2020.2997771
Artikel, Bibliographie

Alt, B. ; Šošić, A. ; Koeppl, H. (2019)
Correlation Priors for Reinforcement Learning.
33rd Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Kanada (09.12.2019-13.12.2019)
Konferenzveröffentlichung, Bibliographie

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.
25th European Signal Processing Conference (EUSIPCO 2017). Kos, Greece (28.08.2017-02.09.2017)
doi: 10.23919/EUSIPCO.2017.8081489
Konferenzveröffentlichung, Bibliographie