ResearchTrend.AI
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds

Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds

Nathan Kallus
Angela Zhou
ArXivPDFHTML

Papers citing "Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds"

5 / 5 papers shown
Title
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
Nathan Kallus
38
22
0
20 May 2022
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies
The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies
Riccardo Fogliato
Alexandra Chouldechova
Zachary Chase Lipton
26
31
0
03 Sep 2021
Transfer of Machine Learning Fairness across Domains
Transfer of Machine Learning Fairness across Domains
Candice Schumann
Xuezhi Wang
Alex Beutel
Jilin Chen
Hai Qian
Ed H. Chi
35
69
0
24 Jun 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric
Nathan Kallus
Angela Zhou
14
73
0
15 Feb 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,092
0
24 Oct 2016