DSS
Decision Sciences & Systems
Technical University of Munich
 
stricker informal

Christian Stricker, M.Sc.

Department of Informatics (I18)
Technical University of Munich
 
E-Mail: strickerÄHTin.tum.de
Office:
Room 01.10.039
Boltzmannstr. 3
85748 Garching bei München, Germany 
Phone: +49 (0) 89 289 - 17514
Hours: by arrangement
 
Selected Talks
mlmisc

Voting With Ties (July 2018)

Selected Posters
stratset_poster

Voting With Ties (July 2018)

Short Bio

I am a PhD student in mathematics in the group of Felix Brandt since June 2017. Before that, I studied Mathematics at the Technical University of Munich. I received my bachelor's degree in 2014 and my master's degree in 2017.

Publications

F. Brandl, F. Brandt, D. Peters, C. Stricker, and W. Suksompong. Donor coordination: Collective distribution of individual contributions. 2019. Working paper. [ pdf ]

F. Brandt, C. Saile, and C. Stricker. Strategyproof social choice when preferences and outcomes may contain ties. 2019. Working paper. [ pdf ]

F. Brandt, C. Saile, and C. Stricker. Voting with ties: Strong impossibilities via SAT solving. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pages 1285–1293. IFAAMAS, 2018. [ link | pdf | venue ]

F. Brandl, F. Brandt, and C. Stricker. An analytical and experimental comparison of maximal lottery schemes. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), pages 114–120. IJCAI, 2018. [ link | pdf | venue ]

C. Stricker. How frequently do social decision schemes violate desirable properties? Master's thesis, Technische Universität München, 2017.

Teaching

Courses

Student Projects

  • Master's thesis Randomized Tournament Solutions (Adrian Rauchhaus, in progress)
  • Master's thesis Candidate Proxy Voting via Preference Completion (Ellen Brüls, 2019)
  • Master's thesis Strict Participation Incentives in Probabilistic Social Choice (Sophia Koch, 2019)
  • Master's thesis Study of the Value of an Asymmetric Zero-Sum Parlor Game (Pia Liebl, 2019)
  • Master's thesis Computer-Aided Impossibilities for Randomized Matching Markets (Fabio Bove, 2019)
  • Master's thesis Randomized Social Decision Making: Theory, Experiments, and Philosophy (Christina Dosch, 2018)

Community Service

Refereeing Journals

Refereeing Conferences


Decision Sciences & Systems (DSS), Department of Informatics (I18), Technische Universität München, Boltzmannstr. 3, 85748 Garching, Germany
©2002-2019 DSS All Rights Reserved
Impressum, Privacy Policy, Copyright Information and Disclaimer