no code implementations • 13 Feb 2023 • Pavan Ravishankar, Qingyu Mo, Edward McFowland III, Daniel B. Neill
We provide a theoretical analysis of how a specific form of data bias, differential sampling bias, propagates from the data stage to the prediction stage.
no code implementations • 29 Nov 2021 • Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
We prove this result for the non-trivial non-parametric model setting when the cumulative unfairness cannot be expressed in terms of edge unfairness.
no code implementations • 10 Jul 2020 • Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
Unlike previous works that only make cautionary claims of discrimination and de-biases data after its generation, this paper attempts to prioritize unfair sources before mitigating their unfairness in the real-world.