Ausgewählte Publikationen
Alexander Munteanu, Simon Omlor, and David P. Woodruff (2021). Oblivious sketching for logistic regression. In Proceedings of the 38th International Conference on Machine Learning (ICML), pages 7861–7871.
http://proceedings.mlr.press/v139/munteanu21a.html
Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, and Christian Sohler (2020). Streaming statistical models via Merge & Reduce. International Journal of Data Science and Analytics, 10(4):331–347.
https://doi.org/10.1007/s41060-020-00226-0
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, and David P. Woodruff (2018). On coresets for logistic regression. In Advances in Neural Information Processing Systems 31 (NeurIPS), pages 6562–6571.
https://proceedings.neurips.cc/paper/2018/hash/63bfd6e8f26d1d3537f4c5038264ef36-Abstract.html
Alexander Munteanu and Chris Schwiegelshohn (2018). Coresets - Methods and History: A theoreticians design pattern for approximation and streaming algorithms. Künstliche Intelligenz, 32(1):37–53.
https://doi.org/10.1007/s13218-017-0519-3
Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Jens Quedenfeld, and Christian Sohler (2017). Random projections for Bayesian regression. Statistics and Computing, 27(1):79–101.
https://doi.org/10.1007/s11222-015-9608-z
