Achieving Envy-freeness and Equitability with Monetary Transfers

Authors: Haris Aziz5102-5109

AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical We present a sufficient condition and an algorithm to achieve envyfreeness and equitability when monetary transfers are allowed. ... For the case of additive valuations, we present a characterization of allocations that can simultaneously be made equitable and envy-free via payments. We then present a distributed algorithm to compute an approximately envy-free outcome for any class of valuations. ... The running time of the algorithm is O(n3f(I) C ϵ ).
Researcher Affiliation Academia Haris Aziz UNSW Sydney and Data61 CSIRO haris.aziz@unsw.edu.au
Pseudocode Yes Algorithm 1 Envy-freeness and equitability with payments; Algorithm 2 Generalized Bertsekas Envy Swap (GBES) Algorithm
Open Source Code No The paper does not provide an explicit statement or link to open-source code for the described methodology.
Open Datasets No The paper presents theoretical contributions and algorithms, and does not mention the use of datasets for training, validation, or testing.
Dataset Splits No The paper presents theoretical contributions and algorithms, and does not mention the use of datasets for training, validation, or testing, or any dataset splits.
Hardware Specification No The paper describes theoretical algorithms and proofs, and does not report on empirical experiments that would require specific hardware specifications.
Software Dependencies No The paper focuses on theoretical algorithms and proofs and does not list any specific software dependencies with version numbers for experimental reproducibility.
Experiment Setup No The paper describes theoretical algorithms and their properties; it does not detail an experimental setup with hyperparameters or training settings.