On Optimizing Interventions in Shared Autonomy. - Weihao Tan; David Koleczek; Siddhant Pradhan; Nicholas Perello; Vivek Chettiar; Vishal Rohra; Aaslesha Rajaram; Soundararajan Srinivasan; H. M. Sajjad Hossain; Yash Chandak (AAAI, 2022)

Marrying Fairness and Explainability in Supervised Learning. - Przemyslaw A. Grabowicz; Nicholas Perello; Aarshee Mishra (FAccT, 2022)

Learning from Discriminatory Training Data. - Przemyslaw A. Grabowicz; Nicholas Perello; Kenta Takatsu (AIES, 2023)

Towards an AI Accountability Policy. - Przemyslaw A. Grabowicz; Nicholas Perello; Yair Zick (CoRR, 2023)

Fair Machine Learning Post Affirmative Action. - Nicholas Perello; Przemyslaw A. Grabowicz (SIGCAS Comput. Soc., 2023)

Simple Steps to Success: A Method for Step-Based Counterfactual Explanations. - Jenny Hamer; Nicholas Perello; Jason Valladares; Vignesh Viswanathan; Yair Zick (Trans. Mach. Learn. Res., 2024)

Discrimination Induced by Algorithmic Recourse Objectives. - Nicholas Perello; Cyrus Cousins; Yair Zick; Przemyslaw A. Grabowicz (FAccT, 2025)