Cyrus DiCiccio

According to our database, Cyrus DiCiccio authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems.

Brian Hsu, Cyrus DiCiccio, Natesh Sivasubramoniapillai, Hongseok Namkoong

CoRR, 2024

2023

Detection and Mitigation of Algorithmic Bias via Predictive Parity.

Cyrus DiCiccio, Brian Hsu, YinYin Yu, Preetam Nandy, Kinjal Basu

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱.

Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Long-term Dynamics of Fairness Intervention in Connection Recommender Systems.

Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

Personalized Treatment Selection using Causal Heterogeneity.

Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Interpretable Assessment of Fairness During Model Evaluation.

Amir Sepehri, Cyrus DiCiccio

CoRR, 2020

A Framework for Fairness in Two-Sided Marketplaces.

Kinjal Basu, Cyrus DiCiccio, Heloise Logan, Noureddine El Karoui

CoRR, 2020

Evaluating Fairness Using Permutation Tests.

Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020