Search Results for author: Dominik Peters

Found 7 papers, 1 papers with code

Proportional Aggregation of Preferences for Sequential Decision Making

no code implementations26 Jun 2023 Nikhil Chandak, Shashwat Goel, Dominik Peters

In each round, a decision rule must choose a decision from a set of alternatives where each voter reports which of these alternatives they approve.

Decision Making

District-Fair Participatory Budgeting

no code implementations11 Feb 2021 D Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia

On the other hand, decision making that only takes global social welfare into account can be unfair to districts: A social-welfare-maximizing solution might not fund any of the projects preferred by a district, despite the fact that its constituents pay taxes to the city.

Decision Making Fairness Computer Science and Game Theory Data Structures and Algorithms

Axioms for Learning from Pairwise Comparisons

no code implementations NeurIPS 2020 Ritesh Noothigattu, Dominik Peters, Ariel D. Procaccia

To be well-behaved, systems that process preference data must satisfy certain conditions identified by economic decision theory and by social choice theory.

Decision Making

Proportionality and the Limits of Welfarism

1 code implementation26 Nov 2019 Dominik Peters, Piotr Skowron

By proposing two new proportionality axioms (laminar proportionality and priceability) satisfied by Phragm\'en but not Thiele, we show that the two rules achieve two distinct forms of proportional representation.

Computer Science and Game Theory Theoretical Economics

Proportional Rankings

no code implementations5 Dec 2016 Piotr Skowron, Martin Lackner, Markus Brill, Dominik Peters, Edith Elkind

In this paper we extend the principle of proportional representation to rankings.

Recommendation Systems

Interdependent Scheduling Games

no code implementations31 May 2016 Andres Abeliuk, Haris Aziz, Gerardo Berbeglia, Serge Gaspers, Petr Kalina, Nicholas Mattei, Dominik Peters, Paul Stursberg, Pascal Van Hentenryck, Toby Walsh

We propose a model of interdependent scheduling games in which each player controls a set of services that they schedule independently.

Scheduling

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