About me
I am a PostDoc at NUS working with Warut Suksompong. Before this, I finished my PhD at the TU Berlin, working with Markus Brill. I also got a master’s degree from the HPI in Potsdam. I am personally interested in all sorts of topics in Computational Social Choice, in particular I am interested in multiwinner voting and the study of proportionality.
Email: peters@nus.edu.sg
Publications: dblp / google scholar
Publications
Working Papers
Online Fair Division with Additional Information
Tzeh Yuan Neoh, Jannik Peters, Nicholas Teh
[arxiv]
Reconfiguring Proportional Committees
Chris Dong, Fabian Frank, Jannik Peters, Warut Suksompong
[arxiv]
Proportional Clustering, the β-Plurality Problem, and Metric Distortion
Leon Kellerhals, Jannik Peters
[arxiv]
2025
Candidate Monotonicity and Proportionality for Lotteries and Non-Resolute Rules
Jannik Peters
Accepted at Social Choice and Welfare, 2025. Forthcoming.
Committee Monotonicity and Proportional Representation for Ranked Preferences
Haris Aziz, Patrick Lederer, Dominik Peters, Jannik Peters, Angus Ritossa
In Proceedings of the 26th ACM Conference on Economics and Computation (ACM-EC), 2025.
[arxiv] [proceedings]
Proportional Multiwinner Voting with Dynamic Candidate Sets
Chris Dong, Jannik Peters
In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025. Forthcoming
Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections.
Tuva Bardal, Markus Brill, David McCune, Jannik Peters
In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 2025
[arxiv] [proceedings]
Verifying Proportionality in Temporal Voting
Edith Elkind, Svetlana Obraztsova, Jannik Peters, Nicholas Teh
In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI), 2025
[arxiv] [proceedings]
2024
Proportional Fairness in Clustering: A Social Choice Perspective.
Leon Kellerhals, Jannik Peters
In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS), 2024
[arxiv] [proceedings]
Can a Few Decide for Many? The Metric Distortion of Sortition
Ioannis Caragiannis, Evi Micha, Jannik Peters
In Proceedings of the 41st International Conference on Machine Learning (ICML), 2024
[arxiv] [proceedings]
Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting.
Markus Brill, Jannik Peters
In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024
[arxiv] [proceedings]
2023
Robust and Verifiable Proportionality Axioms for Multiwinner Voting
Markus Brill, Jannik Peters
Proceedings of the 24th ACM Conference on Economics and Computation (ACM-EC), 2023.
[arxiv] [proceedings]
Quantifying Core Stability Relaxations in Hedonic Games
Tom Demeulemeester, Jannik Peters
In Proceedings of the 48th International Symposium on Mathematical Foundations of Computer Science (MFCS), 2023
[arxiv] [proceedings]
Margin of Victory for Weighted Tournament Solutions
Michelle Döring, Jannik Peters
In Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023
[arxiv] [proceedings]
Proportionality Guarantees in Elections with Interdependent Issues.
Markus Brill, Evangelos Markakis, Georgios Papasotiropoulos, Jannik Peters
In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023
Proportionality in Approval-Based Participatory Budgeting.
Markus Brill, Stefan Forster, Martin Lackner, Jan Maly, Jannik Peters
In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023
[arxiv] [proceedings]
Approval-Based Voting with Mixed Goods
Xinhang Lu, Jannik Peters, Haris Aziz, Xiaohui Bei, Warut Suksompong
In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023
Journal Version: Social Choice and Welfare, 2024
[arxiv] [proceedings] [journal]
Multi-Winner Voting with Possibly Unavailable Candidates
Markus Brill, Hayrullah Dindar, Jonas Israel, Jérôme Lang, Jannik Peters, Ulrike Schmidt-Kraepelin
In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023
2022
Online Elicitation of Necessarily Optimal Matchings.
Jannik Peters
In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022, Distinguished Paper Award
[arxiv] [proceedings]
Individual Representation in Approval-Based Committee Voting
Markus Brill, Jonas Israel, Evi Micha, Jannik Peters
In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022
Journal Version: Social Choice and Welfare, 2025
[arxiv] [proceedings] [journal]
Pareto Optimal and Popular House Allocation with Lower and Upper Quotas
Ágnes Cseh, Tobias Friedrich, Jannik Peters
In Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022
[arxiv] [proceedings]
Three-Dimensional Popular Matching with Cyclic Preferences
Ágnes Cseh, Jannik Peters
In Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022
[arxiv] [proceedings]
2021
Efficiency and Stability in Euclidean Network Design.
Wilhelm Friedemann, Tobias Friedrich, Hans Gawendowicz, Pascal Lenzner, Anna Melnichenko, Jannik Peters, Daniel Stephan, Michael Vaichenker
In Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2021
[arxiv] [proceedings]
Learning Languages with Decidable Hypotheses
Julian Berger, Maximilian Böther, Vanja Doskoč, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger
In Proceedings of Connecting with Computability - 17th Conference on Computability in Europe (CiE), 2021
[arxiv] [proceedings]
2021
Mixed Integer Programming Versus Evolutionary Computation for Optimizing a Hard Real-World Staff Assignment Problem
Jannik Peters, Daniel Stephan, Isabel Amon, Hans Gawendowicz, Julius Lischeid, Lennart Salabarria, Jonas Umland, Felix Werner, Martin S Krejca, Ralf Rothenberger, Timo Kötzing, Tobias Friedrich
In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2019