103 citations · 121 across the 3 of their papers we have counts for
3 papers
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
Zohreh Ovaisi, Shelby Heinecke, Jia Li +3
Robust machine learning is an increasingly important topic that focuses on developing models resilient to various forms of imperfect data. Due to the pervasiveness of recommender s…
Correcting for Selection Bias in Learning-to-rank Systems
Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang +2
Click data collected by modern recommendation systems are an important source of observational data that can be utilized to train learning-to-rank (LTR) systems. However, these dat…
On Erasure Broadcast Channels with Hard Deadlines
Zohreh Ovaisi, Natasha Devroye, Hulya Seferoglu +2
This paper considers packet scheduling over a broadcast channel with packet erasures to multiple receivers with different messages (multiple uni-cast) each with possibly different…