Markus Pauly

Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?

2022 · arXiv (Cornell University)

Tree-based ensembles such as the Random Forest are modern classics among statistical learning methods. In particular, they are used for predicting univariate responses. In case of multiple outputs the question arises whether we separately fit …

Learning Causal Graphs in Manufacturing Domains using Structural Equation Models

2022

Many production processes are characterized by numerous and complex cause-and-effect relationships. Since they are only partially known they pose a challenge to effective process control. In this work we present how Structural Equation Models can …