research
∙
12/20/2022
Human-Guided Fair Classification for Natural Language Processing
Text classifiers have promising applications in high-stake tasks such as...
share
research
∙
12/21/2020
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
Training datasets for machine learning often have some form of missingne...
research
∙
08/27/2019
Infochain: A Decentralized System for Truthful Information Elicitation
Incentive mechanisms play a pivotal role in collecting correct and relia...
research
∙
10/31/2018
Crowdsourcing with Fairness, Diversity and Budget Constraints
Recent studies have shown that the labels collected from crowdworkers ca...
research
∙
04/16/2018