22 citations · 35 across the 5 of their papers we have counts for
5 papers
Agentic ML Exploration (A-MLE) for Ads Ranking
Erwin Gao, Vinodh Kumar Sunkara, Jingyi Guan +36
Modern industrial ads ranking stacks are increasingly bottlenecked not by model capacity or training compute, but by the throughput of human ML iteration - the cycles of research,…
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers
Khalil Damak, Sami Khenissi, Olfa Nasraoui
Bidirectional Transformer architectures are state-of-the-art sequential recommendation models that use a bi-directional representation capacity based on the Cloze task, a.k.a. Mask…
Debiased Explainable Pairwise Ranking from Implicit Feedback
Khalil Damak, Sami Khenissi, Olfa Nasraoui
Recent work in recommender systems has emphasized the importance of fairness, with a particular interest in bias and transparency, in addition to predictive accuracy. In this paper…
Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System
Sami Khenissi, Mariem Boujelbene, Olfa Nasraoui
The closed feedback loop in recommender systems is a common setting that can lead to different types of biases. Several studies have dealt with these biases by designing methods to…
Modeling and Counteracting Exposure Bias in Recommender Systems
Sami Khenissi, Olfa Nasraoui
What we discover and see online, and consequently our opinions and decisions, are becoming increasingly affected by automated machine learned predictions. Similarly, the predictive…