9 citations · 19 across the 6 of their papers we have counts for
7 papers
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems
Brian Hsu, Cyrus DiCiccio, Natesh Sivasubramoniapillai +1
Fairness research in machine learning often centers on ensuring equitable performance of individual models. However, real-world recommendation systems are built on multiple models…
Detection and Mitigation of Algorithmic Bias via Predictive Rate Parity
Cyrus DiCiccio, Brian Hsu, YinYin Yu +2
Predictive parity (PP), also known as sufficiency, is a core definition of algorithmic fairness essentially stating that model outputs must have the same interpretation of expected…
Long-term Dynamics of Fairness Intervention in Connection Recommender Systems
Nil-Jana Akpinar, Cyrus DiCiccio, Preetam Nandy +1
Recommender system fairness has been studied from the perspectives of a variety of stakeholders including content producers, the content itself and recipients of recommendations. R…
Interpretable Assessment of Fairness During Model Evaluation
Amir Sepehri, Cyrus DiCiccio
For companies developing products or algorithms, it is important to understand the potential effects not only globally, but also on sub-populations of users. In particular, it is i…
Evaluating Fairness Using Permutation Tests
Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu +2
Machine learning models are central to people's lives and impact society in ways as fundamental as determining how people access information. The gravity of these models imparts a…
A Framework for Fairness in Two-Sided Marketplaces
Kinjal Basu, Cyrus DiCiccio, Heloise Logan +1
Many interesting problems in the Internet industry can be framed as a two-sided marketplace problem. Examples include search applications and recommender systems showing people, jo…
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems
Preetam Nandy, Cyrus Diciccio, Divya Venugopalan +3
Building fair recommender systems is a challenging and crucial area of study due to its immense impact on society. We extended the definitions of two commonly accepted notions of f…