A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal. - Pavan Ravishankar; Pranshu Malviya; Balaraman Ravindran (CoRR, 2020)

A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. - Pavan Ravishankar; Pranshu Malviya; Balaraman Ravindran (ACML, 2021)

Provable Detection of Propagating Sampling Bias in Prediction Models. - Pavan Ravishankar; Qingyu Mo; Edward McFowland III; Daniel B. Neill (AAAI, 2023)

Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set. - Gordon Dai; Pavan Ravishankar; Rachel Yuan; Daniel B. Neill; Emily Black (CoRR, 2025)

Learning Representational Disparities. - Pavan Ravishankar; Rushabh Shah; Daniel B. Neill (CoRR, 2025)