2 citations · 3 across the 3 of their papers we have counts for
3 papers
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.LG2021★ 2 cited
Scaling TensorFlow to 300 million predictions per second
Jan Hartman, Davorin Kopič
We present the process of transitioning machine learning models to the TensorFlow framework at a large scale in an online advertising ecosystem. In this talk we address the key cha…