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Paul Yi

2 accepted papers

2025

Multiaccuracy and Multicalibration via Proxy Groups

ICML 2025poster

As the use of predictive machine learning algorithms increases in high-stakes decision-making, it is imperative that these algorithms are fair across sensitive groups. However, measuring and enforcing fairness in real-world applications can be challenging due to missing or incomplete sensitive group…

Cited by 0SourcePDFScholar
2023

Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors

NeurIPS 2023poster

As the use of machine learning models in real world high-stakes decision settings continues to grow, it is highly important that we are able to audit and control for any potential fairness violations these models may exhibit towards certain groups. To do so, one naturally requires access to sensitiv…

Cited by 6SourcePDFScholar