Uncertainty for CTR Prediction: One Model to Clarify Them All
Explains how Taboola built a unified neural network model to predict CTR and estimate prediction uncertainty for recommender systems.
Explains how Taboola built a unified neural network model to predict CTR and estimate prediction uncertainty for recommender systems.
Explores Bayesian methods for quantifying uncertainty in deep neural networks, moving beyond single-point weight estimates.
Explores how uncertainty estimation in deep neural networks can be used for model interpretation, debugging, and improving reliability in high-risk applications.