Dr. Michael Drauch, BSc MSc

Published name: Michael Drauch Sedlmayer

Faculty of Mathematics
University of Vienna
Room 04.136
Oskar-Morgenstern-Platz 1
1090 Wien, Austria

mail: michael.drauch@univie.ac.at
phone: +43-1-4277-55715

Scientific Coordinator (Post Doc Researcher)

Scientific and administrative support and coordination of the PhD candidates and guest lecturers

Research Interests

  • saddle point problems
  • convex optimisation
  • machine learning

Scientific CV

Education

2018–2023: PhD, University of Vienna, Faculty of Mathematics, Mathematics.
PhD thesis: Convergence Rate Analysis of Optimisation and Minimax Algorithms for Machine Learning

2016–2018: MSc, University of Vienna, Faculty of Mathematics, Mathematics.
Master thesis: Analysis and stochastic programming in economics of wind energy

2012–2016: BSc, University of Vienna, Faculty of Mathematics, Mathematics.

Academic Positions

03/2023–current: Postdoc Researcher, University of Vienna, Research Network Data Science and Faculty of Mathematics.

2018–2023: Praedoc Researcher, University of Vienna, Research Network Data Science.

2016–2017: Tutor, University of Vienna, Faculty of Mathematics.

Publications

Showing entries 1 - 6 out of 6
Sedlmayer M, Nguyen DK, Bot RI. A fast optimistic method for monotone variational inequalities. In ICML'23: Proceedings of the 40th International Conference on Machine Learning. Vol. 202. PMLR. 2023. p. 30406-30438. 1261

Bot RI, Sedlmayer M, Phan TV. A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs. Journal of Machine Learning Research. 2023 Jan;24(1):191-227. 8.

Bot RI, Csetnek ER, Sedlmayer M. An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function. Computational Optimization and Applications. 2023;86(3):925-966. Epub 2022 Jun 4. doi: 10.1007/s10589-022-00378-8

Böhm A, Sedlmayer M, Csetnek ER, Bot RI. Two steps at a time -- taking GAN training in stride with Tseng's method. SIAM Journal on Mathematics of Data Science. 2022;4(2):750-771. doi: 10.1137/21M1420939

Alarcon Ortega EJ, Bicher M, Bomze I, Bot RI, Dörner KF, Gansterer M et al. Logistikentscheidungsunterstützung in der Pandemie. In Brunner U, Prandtstetter M, Reiner G, Starkl F, Stein S, Wakolbinger T, editors, Jahrbuch der Logistikforschung: Innovative Anwendungen, Konzepte & Technologien. Vol. 3. Wien: Trauner Verlag. 2021. p. 185-195. (Schriftenreihe Logistikforschung).

Bot RI, Sedlmayer M, Phan TV. A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs. arXiv.org. 2020. doi: https://arxiv.org/abs/2003.07886

Showing entries 1 - 6 out of 6