83 citations · 87 across the 4 of their papers we have counts for
4 papers
Towards Robust Relational Causal Discovery
Sanghack Lee, Vasant Honavar
We consider the problem of learning causal relationships from relational data. Existing approaches rely on queries to a relational conditional independence (RCI) oracle to establis…
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
Aria Khademi, Sanghack Lee, David Foley +1
As virtually all aspects of our lives are increasingly impacted by algorithmic decision making systems, it is incumbent upon us as a society to ensure such systems do not become in…
Improving Image Captioning by Leveraging Knowledge Graphs
Yimin Zhou, Yiwei Sun, Vasant Honavar
We explore the use of a knowledge graphs, that capture general or commonsense knowledge, to augment the information extracted from images by the state-of-the-art methods for image…
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems
Junjie Liang, Jinlong Hu, Shoubin Dong +1
We propose Top-N-Rank, a novel family of list-wise Learning-to-Rank models for reliably recommending the N top-ranked items. The proposed models optimize a variant of the widely us…