activity
20192026
most citedCollecting, Classifying, Analyzing, and Using Real-World Elections

3 citations · 24 across the 52 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.AI2025

Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments

Niclas Boehmer, Maximilian T. Wittmann

Many real-world decision-making problems involve optimizing multiple objectives simultaneously, rendering the selection of the most preferred solution a non-trivial problem: All Pa…

cs.GT2025

Understanding the Impact of Proportionality in Approval-Based Multiwinner Elections

Niclas Boehmer, Lara Glessen, Jannik Peters

Despite extensive theoretical research on proportionality in approval-based multiwinner voting, its impact on which committees and candidates can be selected in practice remains po…

cs.GT2025

Generative Social Choice: The Next Generation

Niclas Boehmer, Sara Fish, Ariel D. Procaccia

A key task in certain democratic processes is to produce a concise slate of statements that proportionally represents the full spectrum of user opinions. This task is similar to co…

cs.MA2025

Drawing a Map of Elections

Stanisław Szufa, Niclas Boehmer, Robert Bredereck +5

Our main contribution is the introduction of the map of elections framework. A map of elections consists of three main elements: (1) a dataset of elections (i.e., collections of or…

cs.AI2025

On Sequential Fault-Intolerant Process Planning

Andrzej Kaczmarczyk, Davin Choo, Niclas Boehmer +2

We propose and study a planning problem we call Sequential Fault-Intolerant Process Planning (SFIPP). SFIPP captures a reward structure common in many sequential multi-stage decisi…

cs.MA2025

Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation

Guojun Xiong, Haichuan Wang, Yuqi Pan +4

Restless multi-armed bandits (RMABs) have been highly successful in optimizing sequential resource allocation across many domains. However, in many practical settings with highly s…