BibTeX records: Lena Sembach

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@article{DBLP:journals/sac/SembachBS22,
  author       = {Lena Sembach and
                  Jan Pablo Burgard and
                  Volker Schulz},
  title        = {A Riemannian Newton trust-region method for fitting Gaussian mixture
                  models},
  journal      = {Stat. Comput.},
  volume       = {32},
  number       = {1},
  pages        = {8},
  year         = {2022},
  url          = {https://doi.org/10.1007/s11222-021-10071-1},
  doi          = {10.1007/S11222-021-10071-1},
  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/sac/SembachBS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2212-09081,
  author       = {Lena Sembach and
                  Jan Pablo Burgard and
                  Volker H. Schulz},
  title        = {Riemannian Optimization for Variance Estimation in Linear Mixed Models},
  journal      = {CoRR},
  volume       = {abs/2212.09081},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2212.09081},
  doi          = {10.48550/ARXIV.2212.09081},
  eprinttype    = {arXiv},
  eprint       = {2212.09081},
  timestamp    = {Mon, 02 Jan 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2212-09081.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-2104-14957,
  author       = {Lena Sembach and
                  Jan Pablo Burgard and
                  Volker H. Schulz},
  title        = {A Riemannian Newton Trust-Region Method for Fitting Gaussian Mixture
                  Models},
  journal      = {CoRR},
  volume       = {abs/2104.14957},
  year         = {2021},
  url          = {https://arxiv.org/abs/2104.14957},
  eprinttype    = {arXiv},
  eprint       = {2104.14957},
  timestamp    = {Tue, 04 May 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2104-14957.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/safecomp/KlasS19,
  author       = {Michael Kl{\"{a}}s and
                  Lena Sembach},
  editor       = {Alexander B. Romanovsky and
                  Elena Troubitsyna and
                  Ilir Gashi and
                  Erwin Schoitsch and
                  Friedemann Bitsch},
  title        = {Uncertainty Wrappers for Data-Driven Models - Increase the Transparency
                  of AI/ML-Based Models Through Enrichment with Dependable Situation-Aware
                  Uncertainty Estimates},
  booktitle    = {Computer Safety, Reliability, and Security - {SAFECOMP} 2019 Workshops,
                  ASSURE, DECSoS, SASSUR, STRIVE, and WAISE, Turku, Finland, September
                  10, 2019, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {11699},
  pages        = {358--364},
  publisher    = {Springer},
  year         = {2019},
  url          = {https://doi.org/10.1007/978-3-030-26250-1\_29},
  doi          = {10.1007/978-3-030-26250-1\_29},
  timestamp    = {Mon, 02 Sep 2019 15:11:26 +0200},
  biburl       = {https://dblp.org/rec/conf/safecomp/KlasS19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}