3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 1 cited
Out-Of-Bag Anomaly Detection
Egor Klevak, Sangdi Lin, Andy Martin +2
Data anomalies are ubiquitous in real world datasets, and can have an adverse impact on machine learning (ML) systems, such as automated home valuation. Detecting anomalies could m…
cs.AI2020★ 3 cited
A General Framework for Fairness in Multistakeholder Recommendations
Harshal A. Chaudhari, Sangdi Lin, Ondrej Linda
Contemporary recommender systems act as intermediaries on multi-sided platforms serving high utility recommendations from sellers to buyers. Such systems attempt to balance the obj…