2 papers
cs.IR2026
Cross-Representation Knowledge Transfer for Improved Sequential Recommendations
Artur Gimranov, Viacheslav Yusupov, Elfat Sabitov +4
Transformer architectures, capable of capturing sequential dependencies in the history of user interactions, have become the dominant approach in sequential recommender systems. De…
cs.LG2025
Dynamic Low-rank Approximation of Full-Matrix Preconditioner for Training Generalized Linear Models
Tatyana Matveeva, Aleksandr Katrutsa, Evgeny Frolov
Adaptive gradient methods like Adagrad and its variants are widespread in large-scale optimization. However, their use of diagonal preconditioning matrices limits the ability to ca…