
Matthias Oberlechner
E-Mail: matthias.oberlechner@tum.de
Phone: +49 (0) 89 289 - 17532
Office: Room 01.10.054
Boltzmannstr. 3
85748 Munich, Germany
Hours: by arrangement
Short Bio
I'm a Ph.D. student at the DSS chair supervised by Prof. Bichler. My research focuses on the computation of equilibrium strategies in incomplete information games using methods from convex optimization.
Education
- since 09/2020. Ph.D. Student, Department of Computer Science, TUM (Munich, Germany)
- 2017 - 2020: M.Sc. Mathematics, TUM (Munich, Germany)
- 2013 - 2017: B.Sc. Mathematics, TUM (Munich, Germany)
Other Experiences
- Program Associate supported by the Alfred P. Sloan Foundation in the program Mathematics and Computer Science of Market and Mechanism Design at SLMath
Berkeley, USA, 08/2023 - 12/2023 - Associated Member of the DFG Research Training Group AdONE at TUM
Munich, Germany, since 11/2020 - Erasmus Student at Uppsala University
Uppsala, Sweden, 08/2018 - 01/2019
Publications
Working Paper
- Low Revenue in Display Ad Auctions: Algorithmic Collusion vs. Non-Quasilinear Preferences
Martin Bichler, Alok Gupta, Laura Mathews, Matthias Oberlechner
Preprint, 2023. [ arXiv ]
- On the Convergence of Learning Algorithms in Bayesian Auction Games
Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner, Fabian R. Pieroth, Barabara Wohlmut
Preprint, 2023. [ arXiv ]
Journal Publications
- Computing Bayes Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging
Martin Bichler, Maximilian Fichtl, Matthias Oberlechner
Operations Research, 2023, Forthcoming.
- Learning equilibrium in bilateral bargaining games
Martin Bichler, Nils Kohring, Matthias Oberlechner, Fabian R. Pieroth.
In European Journal of Operational Research, 2023 [ link ]
Conference Proceedings
- Computing Bayes Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging
Martin Bichler, Maximilian Fichtl, Matthias Oberlechner
24th ACM Conference on Economics and Computation (ACM-EC), 2023. [ link | arXiv ]
Peer-Reviewed Workshop Paper
- Computing Bayes Nash Equilibrium Strategies in Crowdsourcing Contests
Martin Bichler, Markus Ewert, Matthias Oberlechner.
In 32nd Workshop on Information Technologies and Systems (WITS-22), Copenhagen, Denmark.
- Computing Distributional Bayes Nash Equilibria in Auction Games via Gradient Dynamics
Martin Bichler, Maximilian Fichtl, Matthias Oberlechner
In Workshop on Reinforcement Learning in Games (AAAI-22, Online). [ venue | pdf ]
Previous Version in Workshop on Learning in Presence of Strategic Behavior (NeurIPS21, Online). [ venue ]
Teaching
Classes
- Operations Research (IN0024)
Teaching Assistant: SS21, SS22, SS23
- Auction Theory and Market Design (IN2211)
Teaching Assistant: WS21/22, WS22/23
Supervised Theses
- Numerical Experiments for Equilibrium Learning with Bandit-Feedback in Contests
Thesis, Master - Informatics - Equilibrium Learning in Bertrand and Cournot Competition
Interdisciplinary Project (IDP), Master - Informatics, 2023 - Development of a DGS Auction Problem Generator
Thesis, Bachelor - Information Systems, 2023 - Application-oriented Analysis of Inventory Management in the Context of Strategic Portfolio Planning in the Automotive Sector Using Operations Research
Thesis, Bachelor - Information Systems, 2023 - Learning Discrete Equilibrium Strategies in Auction Games
Thesis, Master Robotics, Cognition, Intelligence, 2022 - Visualisation of different Learning Algorithms in Matrix Games
Thesis, Bachelor - Information Systems, 2022 - Multiplicative Weights Update in Congestion Games
Thesis, Bachelor Information Systems, 2022 - Solving the CVRPTW: Quantum Annealing vs. Exact Optimization
Thesis, Master - Mathematics, 2022 - Visualization of Different Equilibrium Concepts in Matrix Games
Thesis, Bachelor Information Systems, 2022 - A Comparison of No-External-Regret and No-Internal-Regret Learning Algorithmis in Matrix Games
Thesis, Bachelor - Informatics, 2022 - No-Regret Learning in Finite Games
Thesis, Bachelor - Information Systems, 2022 - Stable Marriage Problem: Fair Algorithms and Applications
Thesis, Bachelor - Information Systems, 2021
For available theses topics, check out this page.