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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…
cs.LG2022★ 1 cited
Feature embedding in click-through rate prediction
Samo Pahor, Davorin Kopič, Jure Demšar
We tackle the challenge of feature embedding for the purposes of improving the click-through rate prediction process. We select three models: logistic regression, factorization mac…
cs.LG2022★ 2 cited
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
Jan Hartman, Davorin Kopič
In this work, we present a scalable and efficient system for exploring the supply landscape in real-time bidding. The system directs exploration based on the predictive uncertainty…