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cs.LG2025
Learning Representational Disparities
Pavan Ravishankar, Rushabh Shah, Daniel B. Neill
We propose a fair machine learning algorithm to model interpretable differences between observed and desired human decision-making, with the latter aimed at reducing disparity in a…
cs.CY2025★ 1 cited
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set
Gordon Dai, Pavan Ravishankar, Rachel Yuan +2
When selecting a model from a set of equally performant models, how much unfairness can you really reduce? Is it important to be intentional about fairness when choosing among this…