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cs.LG2024
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second
Blaž Škrlj, Benjamin Ben-Shalom, Grega Gašperšič +5
Field-aware Factorization Machines (FFMs) have emerged as a powerful model for click-through rate prediction, particularly excelling in capturing complex feature interactions. In t…
cs.LG2022
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations
Blaž Škrlj, Adi Schwartz, Jure Ferlež +2
Hyperparameter optimization is the process of identifying the appropriate hyperparameter configuration of a given machine learning model with regard to a given learning task. For s…