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Recent literature on computational notions of fairness has been broadly divided into two distinct camps, supporting interventions that address either individual-based or group-based fairness. Rather than privilege a single definition, we…

计算机科学与博弈论 · 计算机科学 2017-07-07 Lily Hu , Yiling Chen

Cooperation is fundamental for society's viability, as it enables the emergence of structure within heterogeneous groups that seek collective well-being. However, individuals are inclined to defect in order to benefit from the group's…

多智能体系统 · 计算机科学 2026-02-10 Yao-hua Franck Xu , Tayeb Lemlouma , Arnaud Braud , Jean-Marie Bonnin

It is well known that a game equilibrium can be far from efficient or fair, due to the misalignment between individual and social objectives. The focus of this paper is to design a new mechanism framework that induces an efficient and fair…

计算机科学与博弈论 · 计算机科学 2017-08-11 Lin Gao , Jianwei Huang

The widening inequality in income distribution in recent years, and the associated excessive pay packages of CEOs in the U.S. and elsewhere, is of growing concern among policy makers as well as the common person. However, there seems to be…

经济学 · 定量金融 2014-11-13 Venkat Venkatasubramanian , Yu Luo , Jay Sethuraman

Deploying an algorithmically informed policy is a significant intervention in society. Prominent methods for algorithmic fairness focus on the distribution of predictions at the time of training, rather than the distribution of social goods…

计算机与社会 · 计算机科学 2024-06-18 Sebastian Zezulka , Konstantin Genin

We introduce a novel framework that considers how a firm could fairly compensate its workers. A firm has a group of workers, each of whom has varying productivities over a set of tasks. After assigning workers to tasks, the firm must then…

理论经济学 · 经济学 2022-05-04 John E. Stovall

Dynamic, risk-based pricing can systematically exclude vulnerable consumer groups from essential resources such as health insurance and consumer credit. We show that a regulator can realign private incentives with social objectives through…

人工智能 · 计算机科学 2025-06-05 Jesse Thibodeau , Hadi Nekoei , Afaf Taïk , Janarthanan Rajendran , Golnoosh Farnadi

Frequent violations of fair principles in real-life settings raise the fundamental question of whether such principles can guarantee the existence of a self-enforcing equilibrium in a free economy. We show that elementary principles of…

理论经济学 · 经济学 2021-07-28 Ghislain H. Demeze-Jouatsa , Roland Pongou , Jean-Baptiste Tondji

In prediction-based decision-making systems, different perspectives can be at odds: The short-term business goals of the decision makers are often in conflict with the decision subjects' wish to be treated fairly. Balancing these two…

计算机与社会 · 计算机科学 2023-05-03 Corinna Hertweck , Joachim Baumann , Michele Loi , Eleonora Viganò , Christoph Heitz

We consider the problem of allocating a set on indivisible items to players with private preferences in an efficient and fair way. We focus on valuations that have dichotomous marginals, in which the added value of any item to a set is…

计算机科学与博弈论 · 计算机科学 2020-12-25 Moshe Babaioff , Tomer Ezra , Uriel Feige

This paper studies an incentive structure for cooperation and its stability in peer-assisted services when there exist multiple content providers, using a coalition game theoretic approach. We first consider a generalized coalition…

网络与互联网体系结构 · 计算机科学 2015-03-19 Jeong-woo Cho , Yung Yi

The persistence of racial inequality in the U.S. labor market against a general backdrop of formal equality of opportunity is a troubling phenomenon that has significant ramifications on the design of hiring policies. In this paper, we show…

计算机科学与博弈论 · 计算机科学 2018-02-22 Lily Hu , Yiling Chen

An econometric or statistical model may undergo a marginal gain if we admit a new variable to the model, and a marginal loss if we remove an existing variable from the model. Assuming equality of opportunity among all candidate variables,…

机器学习 · 统计学 2020-03-16 Xingwei Hu

High performance machine learning models have become highly dependent on the availability of large quantity and quality of training data. To achieve this, various central agencies such as the government have suggested for different data…

机器学习 · 计算机科学 2019-11-27 Zhiliang Chen

This study explores the impact of unemployment benefits on employment quality, job stability, and tenure within complex labour market dynamics. Given the macroeconomic consequences of changes in unemployment benefits, including their impact…

综合经济学 · 经济学 2024-07-31 Jessica Reale , Frederik Banning , Michael Roos

This paper develops a new model of business cycles. The model is economical in that it is solved with an aggregate demand-aggregate supply diagram, and the effects of shocks and policies are obtained by comparative statics. The model builds…

理论经济学 · 经济学 2022-03-22 Pascal Michaillat , Emmanuel Saez

We study a dynamic labor market in which a risk-averse worker with career concerns chooses each period between self-employment, which generates publicly observed binary output, and employment at a firm, which pays a flat wage but keeps…

理论经济学 · 经济学 2025-11-25 Georgy Lukyanov , Konstantin Popov , Shubh Lashkery

Managing unemployment is one of the key issues in social policies. Unemployment insurance schemes are designed to cushion the financial and morale blow of loss of job but also to encourage the unemployed to seek new jobs more pro-actively…

统计金融 · 定量金融 2019-09-05 Jason S. Anquandah , Leonid V. Bogachev

The prevalence and importance of algorithmic two-sided marketplaces has drawn attention to the issue of fairness in such settings. Algorithmic decisions are used in assigning students to schools, users to advertisers, and applicants to job…

机器学习 · 计算机科学 2023-06-19 Siddartha Devic , David Kempe , Vatsal Sharan , Aleksandra Korolova

We propose a unified framework for fair regression tasks formulated as risk minimization problems subject to a demographic parity constraint. Unlike many existing approaches that are limited to specific loss functions or rely on challenging…

统计方法学 · 统计学 2026-01-16 Yongzhen Feng , Weiwei Wang , Raymond K. W. Wong , Xianyang Zhang
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