activity
20182021
most citedNeural Fair Collaborative Filtering

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Fair Representation Learning for Heterogeneous Information Networks

Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya +3

Recently, much attention has been paid to the societal impact of AI, especially concerns regarding its fairness. A growing body of research has identified unfair AI systems and pro…

cs.LG2020

Equitable Allocation of Healthcare Resources with Fair Cox Models

Kamrun Naher Keya, Rashidul Islam, Shimei Pan +2

Healthcare programs such as Medicaid provide crucial services to vulnerable populations, but due to limited resources, many of the individuals who need these services the most lang…

cs.IR20201 cited

Neural Fair Collaborative Filtering

Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng +2

A growing proportion of human interactions are digitized on social media platforms and subjected to algorithmic decision-making, and it has become increasingly important to ensure…

cs.CL2019

Neural Embedding Allocation: Distributed Representations of Topic Models

Kamrun Naher Keya, Yannis Papanikolaou, James R. Foulds

Word embedding models such as the skip-gram learn vector representations of words' semantic relationships, and document embedding models learn similar representations for documents…

cs.LG2018

Bayesian Modeling of Intersectional Fairness: The Variance of Bias

James Foulds, Rashidul Islam, Kamrun Keya +1

Intersectionality is a framework that analyzes how interlocking systems of power and oppression affect individuals along overlapping dimensions including race, gender, sexual orien…