Sayak Chakrabarty

Stable History, Better Rankings: Invariant Parent Selection with Geodesic Attention for Recommenders

Sequential recommender systems increasingly rely on transformer attention to model complex dependencies in user histories, yet standard attention is typically unconstrained: any candidate item may attend to any historical interaction. This flexibility can improve accuracy, but it often amplifies spurious correlations,...