Out-Of-Bag Anomaly Detection

no code implementations • 20 Sep 2020 • Egor Klevak, Sangdi Lin, Andy Martin, Ondrej Linda, Eric Ringger

Data anomalies are ubiquitous in real world datasets, and can have an adverse impact on machine learning (ML) systems, such as automated home valuation.

Anomaly Detection

A General Framework for Fairness in Multistakeholder Recommendations

no code implementations • 4 Sep 2020 • 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.

Fairness Recommendation Systems