I am a postdoctoral researcher at Universidad de Chile in the industrial engineering department. My research interests are primarily (discrete) convex optimization and computation of Bayes-Nash equilibria, particularly in auction games.
I obtained a B.Sc. and M.Sc. in mathematics at the Technical University of Munich, where I also did my Ph.D. in computer science within the Chair of Decision Sciences and Systems.
You can find my CV here.
Publications
Journal Publications
- Computing Bayes Nash equilibrium strategies in auction games via simultaneous online dual averaging.
M. Bichler, M. Fichtl, and M. Oberlechner.
Operations Research, 2023. - Strong substitutes: Structural properties, and a new algorithm for competitive equilibrium prices.
E. Baldwin, M. Bichler, M. Fichtl, and P. Klemperer.
Mathematical Programming, 2022. - On the expressiveness of assignment messages.
M. Fichtl.
Economics Letters, 2021. - Learning equilibria in symmetric auction games using artificial neural networks.
M. Bichler, M. Fichtl, S. Heidekrüger, N. Kohring, and P. Sutterer.
Nature Machine Intelligence, 2021. - Walrasian equilibria from an optimization perspective: A guide to the literature.
M. Bichler, M. Fichtl, and G. Schwarz.
Naval Research Logistics, 2020.
Conference Proceedings
- Computing Bayes Nash equilibrium strategies in auction games via simultaneous online dual averaging.
M. Bichler, M. Fichtl, and M. Oberlechner.
EC ’23, 2023. - Core-stability in assignment markets with financially constrained buyers.
E. Batziou, M. Bichler, and M. Fichtl.
EC ’22, 2022.