Publications

Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments. Niclas Boehmer; Maximilian T. Wittmann. Conference on Artificial Intelligence. pp. 16717-16725 (2026)

Explanation Systems for Approval-Based Multiwinner Voting. Niclas Boehmer; Luca Kreisel; Jannik Peters 0001. CoRR. (2026)

Fair Allocation with Initial Utilities. Niclas Boehmer; Luca Kreisel. CoRR. (2026)

Computational Social Choice: Research & Development. Dorothea Baumeister; Ratip Emin Berker; Niclas Boehmer; Sylvain Bouveret; Andreas Darmann; Piotr Faliszewski; Martin Lackner; Jérôme Lang; Nicholas Mattei; Arianna Novaro. CoRR. (2026)

Single-Winner Voting on Matchings. Niclas Boehmer; Jessica Dierking. CoRR. (2026)

Understanding the Impact of Proportionality in Approval-Based Multiwinner Elections. Niclas Boehmer; Lara Glessen; Jannik Peters. Conference on Artificial Intelligence (AAAI). pp. 16709-16716 (2026)

The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions. Carmel Baharav; Niclas Boehmer; Bailey Flanigan; Maximilian T. Wittmann. CoRR. (2026)

AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence. Paul Anton Bachmann; Niclas Boehmer; Lukas Daniel Klausner; Martin Lackner. CoRR. (2026)

Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments. Niclas Boehmer; Maximilian T. Wittmann. CoRR. (2025)

Understanding the Impact of Proportionality in Approval-Based Multiwinner Elections. Niclas Boehmer; Lara Glessen; Jannik Peters 0001. CoRR. (2025)

Generative Social Choice: The Next Generation. Niclas Boehmer; Sara Fish; Ariel D. Procaccia. International Conference on Machine Learning. (2025)

PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning. Shresth Verma; Alayna Nguyen; Niclas Boehmer; Lingkai Kong; Milind Tambe. Conference on Artificial Intelligence. pp. 29709-29711 (2025)

Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. Niclas Boehmer; Yunfan Zhao; Guojun Xiong; Paula Rodriguez Diaz; Paola Del Cueto Cibrian; Joseph Ngonzi; Adeline Boatin; Milind Tambe. Conference on Innovative Applications of Artificial Intelligence. pp. 28843-28849 (2025)

Evaluating Index-based Treatment Allocation in Underresourced Communities. Niclas Boehmer; Yash Nair; Sanket Shah; Lucas Janson; Aparna Taneja; Milind Tambe. Conference on Artificial Intelligence. pp. 27849-27857 (2025)

On Sequential Fault-Intolerant Process Planning. Andrzej Kaczmarczyk 0001; Davin Choo; Niclas Boehmer; Milind Tambe; Haifeng Xu. CoRR. (2025)

Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation. Guojun Xiong; Haichuan Wang; Yuqi Pan; Saptarshi Mandal; Sanket Shah; Niclas Boehmer; Milind Tambe. CoRR. (2025)

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact. Yunfan Zhao; Niclas Boehmer; Aparna Taneja; Milind Tambe. Autonomous Agents and Multi-Agent Systems. pp. 2901-2907 (2025)

Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation. Guojun Xiong; Haichuan Wang; Yuqi Pan; Saptarshi Mandal; Sanket Shah; Niclas Boehmer; Milind Tambe. Symposium Algorithmic Game Theory. pp. 2199-2207 (2025)

Generative Social Choice: The Next Generation. Niclas Boehmer; Sara Fish; Ariel D. Procaccia. CoRR. (2025)

Causes of Stability in Dynamic Coalition Formation. Niclas Boehmer; Martin Bullinger; Anna Maria Kerkmann. ACM Trans. Economics and Comput.. pp. 6:1-6:45 (2025)

Proportional representation in matching markets: selecting multiple matchings under dichotomous preferences. Niclas Boehmer; Markus Brill; Ulrike Schmidt-Kraepelin. Soc. Choice Welf.. pp. 179-220 (2025)

The Complexity of Finding Fair Many-to-One Matchings. Niclas Boehmer; Tomohiro Koana. ACM Trans. Algorithms. (2024)

Multivariate algorithmics for eliminating envy by donating goods. Niclas Boehmer; Robert Bredereck; Klaus Heeger; Dusan Knop; Junjie Luo 0001. Auton. Agents Multi Agent Syst.. (2024)

Equilibria in schelling games: computational hardness and robustness. Luca Kreisel; Niclas Boehmer; Vincent Froese; Rolf Niedermeier. Auton. Agents Multi Agent Syst.. (2024)

Group Fairness in Predict-Then-Optimize Settings for Restless Bandits. Shresth Verma; Yunfan Zhao; Sanket Shah; Niclas Boehmer; Aparna Taneja; Milind Tambe. Uncertainty in Artificial Intelligence. pp. 3448-3469 (2024)

Evaluation of Project Performance in Participatory Budgeting. Niclas Boehmer; Piotr Faliszewski; Lukasz Janeczko; Dominik Peters; Grzegorz Pierczynski; Simon Schierreich; Piotr Skowron 0001; Stanislaw Szufa. International Joint Conference on Artificial Intelligence. pp. 2678-2686 (2024)

Guide to Numerical Experiments on Elections in Computational Social Choice. Niclas Boehmer; Piotr Faliszewski; Lukasz Janeczko; Andrzej Kaczmarczyk 0001; Grzegorz Lisowski; Grzegorz Pierczynski; Simon Rey; Dariusz Stolicki; Stanislaw Szufa; Tomasz Was. International Joint Conference on Artificial Intelligence. pp. 7962-7970 (2024)

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. Shresth Verma; Niclas Boehmer; Lingkai Kong; Milind Tambe. Conference on Game Theory and AI for Security. pp. 376-394 (2024)

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. Shresth Verma; Niclas Boehmer; Lingkai Kong; Milind Tambe. CoRR. (2024)

Multiwinner Temporal Voting with Aversion to Change. Valentin Zech; Niclas Boehmer; Edith Elkind; Nicholas Teh. CoRR. (2024)

Worst- and Average-Case Robustness of Stable Matchings: (Counting) Complexity and Experiments. Kimon Boehmer; Niclas Boehmer. CoRR. (2024)

Escape Sensing Games: Detection-vs-Evasion in Security Applications. Niclas Boehmer; Minbiao Han; Haifeng Xu; Milind Tambe. CoRR. (2024)

Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs. Arpan Dasgupta; Niclas Boehmer; Neha Madhiwalla; Aparna Hedge; Bryan Wilder; Milind Tambe; Aparna Taneja. CoRR. (2024)

Evaluating the Effectiveness of Index-Based Treatment Allocation. Niclas Boehmer; Yash Nair; Sanket Shah; Lucas Janson; Aparna Taneja; Milind Tambe. CoRR. (2024)

Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact. Yunfan Zhao; Niclas Boehmer; Aparna Taneja; Milind Tambe. CoRR. (2024)

Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach. Niclas Boehmer; Yunfan Zhao; Guojun Xiong; Paula Rodriguez Diaz; Paola Del Cueto Cibrian; Joseph Ngonzi; Adeline Boatin; Milind Tambe. CoRR. (2024)

Enabling the Digital Democratic Revival: A Research Program for Digital Democracy. Davide Grossi; Ulrike Hahn; Michael Mäs; Andreas Nitsche; Jan Behrens; Niclas Boehmer; Markus Brill; Ulle Endriss; Umberto Grandi; Adrian Haret; Jobst Heitzig; Nicolien Janssens; Catholijn M. Jonker; Marijn A. Keijzer; Axel Kistner; Martin Lackner; Alexandra Lieben; Anna Mikhaylovskaya; Pradeep K. Murukannaiah; Carlo Proietti; Manon Revel; Élise Rouméas; Ehud Shapiro; Gogulapati Sreedurga; Björn Swierczek; Nimrod Talmon; Paolo Turrini; Zoi Terzopoulou; Frederik Van De Putte. CoRR. (2024)

Guide to Numerical Experiments on Elections in Computational Social Choice. Niclas Boehmer; Piotr Faliszewski; Lukasz Janeczko; Andrzej Kaczmarczyk 0001; Grzegorz Lisowski; Grzegorz Pierczynski; Simon Rey; Dariusz Stolicki; Stanislaw Szufa; Tomasz Was. CoRR. (2024)

Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist. Niclas Boehmer; Piotr Faliszewski; Sonja Kraiczy. CoRR. (2024)

On Sequential Fault-Intolerant Process Planning. Andrzej Kaczmarczyk; Davin Choo; Niclas Boehmer; Milind Tambe; Haifeng Xu. Conference on Game Theory and AI for Security. pp. 273-293 (2024)

Multiwinner Temporal Voting with Aversion to Change. Valentin Zech; Niclas Boehmer; Edith Elkind; Nicholas Teh. European Conference on Artificial Intelligence. pp. 3236-3243 (2024)

Escape Sensing Games: Detection-vs-Evasion in Security Applications. Niclas Boehmer; Minbiao Han; Haifeng Xu; Milind Tambe. European Conference on Artificial Intelligence. pp. 3260-3267 (2024)

Worst- and Average-Case Robustness of Stable Matchings: (Counting) Complexity and Experiments. Kimon Boehmer; Niclas Boehmer. pp. 3469-3476 (2024)

Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain. Niclas Boehmer; Markus Brill; Alfonso Cevallos; Jonas Gehrlein; Luis Sánchez Fernández 0001; Ulrike Schmidt-Kraepelin. Conference on Artificial Intelligence. pp. 9519-9527 (2024)

Selecting Representative Bodies: An Axiomatic View. Manon Revel; Niclas Boehmer; Rachael Colley; Markus Brill; Piotr Faliszewski; Edith Elkind. Autonomous Agents and Multi-Agent Systems. pp. 2701-2705 (2024)

A Map of Diverse Synthetic Stable Matching Instances. Niclas Boehmer; Klaus Heeger; Stanislaw Szufa. J. Artif. Intell. Res.. pp. 1113-1166 (2024)

Stable matching with multilayer approval preferences: Approvals can be harder than strict preferences. Matthias Bentert; Niclas Boehmer; Klaus Heeger; Tomohiro Koana. Games Econ. Behav.. pp. 508-526 (2023)

Evaluation of Project Performance in Participatory Budgeting. Niclas Boehmer; Piotr Faliszewski; Lukasz Janeczko; Dominik Peters; Grzegorz Pierczynski; Simon Schierreich; Piotr Skowron 0001; Stanislaw Szufa. CoRR. (2023)

Approval-Based Committee Voting in Practice: A Case Study of (Over-)Representation in the Polkadot Blockchain. Niclas Boehmer; Markus Brill; Alfonso Cevallos; Jonas Gehrlein; Luis Sánchez Fernández 0001; Ulrike Schmidt-Kraepelin. CoRR. (2023)

Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. Niclas Boehmer; L. Elisa Celis; Lingxiao Huang; Anay Mehrotra; Nisheeth K. Vishnoi. CoRR. (2023)