3 papers
cs.LG2021
Incremental Search Space Construction for Machine Learning Pipeline Synthesis
Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber
Automated machine learning (AutoML) aims for constructing machine learning (ML) pipelines automatically. Many studies have investigated efficient methods for algorithm selection an…
cs.LG2020
AVATAR -- Machine Learning Pipeline Evaluation Using Surrogate Model
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial +2
The evaluation of machine learning (ML) pipelines is essential during automatic ML pipeline composition and optimisation. The previous methods such as Bayesian-based and genetic-ba…
cs.LG2019
Benchmark and Survey of Automated Machine Learning Frameworks
Marc-André Zöller, Marco F. Huber
Machine learning (ML) has become a vital part in many aspects of our daily life. However, building well performing machine learning applications requires highly specialized data sc…