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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.LG2023★ 2 cited
Provable Detection of Propagating Sampling Bias in Prediction Models
Pavan Ravishankar, Qingyu Mo, Edward McFowland +1
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipel…