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12/20/2022
Human-Guided Fair Classification for Natural Language Processing
Text classifiers have promising applications in high-stake tasks such as...
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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...
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08/27/2019
Infochain: A Decentralized System for Truthful Information Elicitation
Incentive mechanisms play a pivotal role in collecting correct and relia...
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10/31/2018
Crowdsourcing with Fairness, Diversity and Budget Constraints
Recent studies have shown that the labels collected from crowdworkers ca...
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04/16/2018
