Portioning Using Ordinal Preferences: Fairness and Efficiency
Authors: Stéphane Airiau, Haris Aziz, Ioannis Caragiannis, Justin Kruger, Jérôme Lang, Dominik Peters
IJCAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We introduce a family of rules for portioning, inspired by positional scoring rules. Rules in this family are given by a scoring vector (such as plurality or Borda) associating a positive value with each rank in a vote, and an aggregation function such as leximin or the Nash product. Our family contains well-studied rules, but most are new. We discuss computational and normative properties of our rules. We focus on fairness, and introduce the SD-core, a group fairness notion. Our Nash rules are in the SD-core, and the leximin rules satisfy individual fairness properties. Both are Pareto-efficient. |
| Researcher Affiliation | Academia | 1LAMSADE, CNRS, Universit e Paris-Dauphine, PSL University 2UNSW Sydney and Data61 CSIRO 3University of Patras 4University of Oxford |
| Pseudocode | Yes | Algorithm 1 Computing an s-leximin distribution |
| Open Source Code | No | The paper does not provide any concrete access information (e.g., repository link, explicit statement of code release) for open-source code. |
| Open Datasets | No | The paper is theoretical and does not use or reference any datasets for empirical training. |
| Dataset Splits | No | The paper is theoretical and does not involve validation sets or data splits. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for any computations or analyses. |
| Software Dependencies | No | The paper mentions 'standard solvers' and 'linear programming' for computational aspects but does not specify any software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe any experimental setup details such as hyperparameters or training configurations. |