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Paul Gölz

7 accepted papers

2026

Fair Allocation of Indivisible Goods with Variable Groups

AAAI 2026technical

We study the fair allocation of indivisible goods with variable groups. In this model, the goal is to partition the agents into groups of given sizes and allocate the goods to the groups in a fair manner. We show that for any number of groups and corresponding sizes, there always exists an envy-free

Cited by 0SourcePDFScholar
2026

Putting Fair Division on the Map

AAAI 2026technical

The fair division of indivisible goods is not only a subject of theoretical research, but also an important problem in practice, with solutions being offered on several online platforms. Little is known, however, about the characteristics of real-world allocation instances and how they compare to sy

Cited by 0SourcePDFScholar
2025

Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?

NeurIPS 2025poster

After pre-training, large language models are aligned with human preferences based on pairwise comparisons. State-of-the-art alignment methods (such as PPO-based RLHF and DPO) are built on the assumption of aligning with a single preference model, despite being deployed in settings where users have…

Cited by 0SourceScholar
2023

Now We’re Talking: Better Deliberation Groups through Submodular Optimization

AAAI 2023technical

Citizens’ assemblies are groups of randomly selected constituents who are tasked with providing recommendations on policy questions. Assembly members form their recommendations through a sequence of discussions in small groups (deliberation), in which group members exchange arguments and experiences…

2022

Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random Valuations

IJCAI 2022poster

We study the problem of allocating m indivisible items to n agents with additive utilities. It is desirable for the allocation to be both fair and efficient, which we formalize through the notions of envy-freeness and Pareto-optimality. While envy-free and Pareto-optimal allocations may not exist fo…

2020

Neutralizing Self-Selection Bias in Sampling for Sortition

NeurIPS 2020poster

Sortition is a political system in which decisions are made by panels of randomly selected citizens. The process for selecting a sortition panel is traditionally thought of as uniform sampling without replacement, which has strong fairness properties. In practice, however, sampling without replaceme…