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Cyrus DiCiccio
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2020 – today
- 2023
- [c5]Cyrus DiCiccio
, Brian Hsu
Detection and Mitigation of Algorithmic Bias via Predictive Parity. FAccT 2023: 1801-1816 - 2022
- [c4]Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu:
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. AIES 2022: 22-35 - [c3]Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui:
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱. FAccT 2022: 715-725 - [i3]Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy, Kinjal Basu:
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems. CoRR abs/2203.16432 (2022) - 2021
- [c2]Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee:
Personalized Treatment Selection using Causal Heterogeneity. WWW 2021: 1574-1585 - 2020
- [c1]Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal:
Evaluating Fairness Using Permutation Tests. KDD 2020: 1467-1477 - [i2]Kinjal Basu, Cyrus DiCiccio, Heloise Logan, Noureddine El Karoui:
A Framework for Fairness in Two-Sided Marketplaces. CoRR abs/2006.12756 (2020) - [i1]Amir Sepehri, Cyrus DiCiccio:
Interpretable Assessment of Fairness During Model Evaluation. CoRR abs/2010.13782 (2020)
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