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Maximilian Fichtl |
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Department of Informatics (I18)
Technical University of Munich
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E-Mail: | This email address is being protected from spambots. You need JavaScript enabled to view it. | |
Office: |
Room 01.10.058
Boltzmannstr. 3
85748 München, Germany
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Phone: | +49 (0) 89 289 - 17528 | |
Hours: | by arrangement | |
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Short Bio
Education
- Since 5/2019 AdONE associated researcher, TUM
- Since 2018: PhD student at the Chair for Decision Sciences and Systems, TUM
- 2014-2017: Graduation as Master of Science in Mathematics, TUM
- 2011-2014: Undergraduate studies in Mathematics (Topmath) with minor Computer Science, TUM
Awards
- Study Award 2014 for excellent study performance
Working Papers
- Baldwin, E, Bichler, M, Fichtl, M, Klemperer, P. Strong Substitutes: Structural Properties, and a New Algorithm for Competitive Equilibrium Prices.
- Bichler, M, Fichtl, M, Heidekrüger, S, Kohring, N, Sutterer, P. Learning to Bid: Computing Bayesian Nash Equilibrium Strategies in Auction Markets. [conference version]
- Fichtl, M. Computing Candidate Prices in Budget-Constrained Product-Mix Auctions. [pdf]
- Fichtl, M. Assignment Messages do not express all Strong Substitutes Valuations.
Journal Publications
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Bichler, M, Fichtl, M, Schwarz, G. Walrasian equilibria from an optimization perspective: A guide to the literature. Naval Research Logistics. 2020; 1 – 18. [link]
Teaching
SS 19:
WS 18/19:
SS 18:
Student Projects
- Bachelor Thesis: Experimental Evaluation of Submodular Flow Algorithms, Giuliano Gaub, 2020
- Bachelor Thesis: Algorithmen zur Maximierung Submodularer Funktionen, Yongli Huang, 2020
- Bachelor Thesis: Computing equilibrium prices in Fisher Markets, Hasan Postoglu, 2019
- Bachelor Thesis: Computing bids for product-mix auctions, Patrick Ennemoser, 2019