Discrimination Induced by Algorithmic Recourse Objectives
Expected 2025
Nicholas Perello, Cyrus Cousins, Yair Zick, Przemyslaw A. Grabowicz. Discrimination Induced by Algorithmic Recourse Objectives. 2025.
Publications
*Equal contribution, ^Equal advising
Under Review
Archival
Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse
Published in Transactions of Machine Learning Research (TMLR), 2024
Jenny Hamer*, Nicholas Perello*, Jake Valladares, Vignesh Viswanathan*, Yair Zick. Simple Steps to Success: Axiomatics of Distance-Based Algorithmic Recourse. 2024.
Learning from Discriminatory Training Data
Published in AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, 2023
Przemyslaw A. Grabowicz*, Nicholas Perello*, and Kenta Takatsu. Learning from Discriminatory Training Data. In AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2023
Marrying Fairness and Explainability in Supervised Learning
Published in ACM Conference on Fairness, Accountability, and Transparency, 2022
Przemyslaw A. Grabowicz, Nicholas Perello, and Aarshee Mishra. Marrying Fairness and Explainability in Supervised Learning. In ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022.
On Optimizing Interventions in Shared Autonomy
Published in Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Weihao Tan*, David Koleczek*, Siddhant Pradhan*, Nicholas Perello, Vivek Chettiar, Nan Ma, Aaslesha Rajaram, Vishal Rohra, Soundar Srinivasan, H M Sajjad Hossain^, and Yash Chandak^. On Optimizing Interventions in Shared Autonomy. In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022
Non-Archival
Towards an AI Accountability Policy.
Published in Comment on FR Doc 2023-07776 Posted by the National Telecommunications and Information Administration, 2023
Przemyslaw A. Grabowicz, Nicholas Perello, Yair Zick. Towards an AI Accountability Policy. In Comment on FR Doc 2023-07776 Posted by the National Telecommunications and Information Administration, 2023.
Resilience of Supervised Learning Algorithms to Discriminatory Poisoning of Training Data
Published in 7th International Conference on Computational Social Science (IC2S2), 2021
Przemyslaw A. Grabowicz and Nicholas Perello. Resilience of Supervised Learning Algorithms to Discriminatory Poisoning of Training Data. In 7th International Conference on Computational Social Science (IC2S2), 2021.
Intervention Aware Shared Autonomy
Published in ICML Workshop on Human-AI Collaboration in Sequential Decision-Making, 2021
Weihao Tan*, David Koleczek*, Siddhant Pradhan*, Nicholas Perello, Vivek Chettiar, Nan Ma, Aaslesha Rajaram, Vishal Rohra, Soundar Srinivasan, H M Sajjad Hossain^, and Yash Chandak^. Intervention Aware Shared Autonomy. In ICML Workshop on Human-AI Collaboration in Sequential Decision-Making, 2021.
Towards Fair and Explainable Supervised Learning
Published in ICML Workshop on Socially Responsible Machine Learning, 2021
Aarshee Mishra*, Nicholas Perello*, and Przemyslaw A. Grabowicz. Towards Fair and Explainable Supervised Learning. In ICML Workshop on Socially Responsible Machine Learning (SRML), 2021.