12 citations · 21 across the 8 of their papers we have counts for
4 papers · 1 filter
ProcK: Machine Learning for Knowledge-Intensive Processes
Tobias Jacobs, Jingyi Yu, Julia Gastinger +1
We present a novel methodology to build powerful predictive process models. Our method, denoted ProcK (Process & Knowledge), relies not only on sequential input data in the form of…
The Combinatorial Multi-Bandit Problem and its Application to Energy Management
Tobias Jacobs, Mischa Schmidt, Sébastien Nicolas +1
We study a Combinatorial Multi-Bandit Problem motivated by applications in energy systems management. Given multiple probabilistic multi-arm bandits with unknown outcome distributi…
A Study of the Learning Progress in Neural Architecture Search Techniques
Prabhant Singh, Tobias Jacobs, Sebastien Nicolas +1
In neural architecture search, the structure of the neural network to best model a given dataset is determined by an automated search process. Efficient Neural Architecture Search…
On the Performance of Differential Evolution for Hyperparameter Tuning
Mischa Schmidt, Shahd Safarani, Julia Gastinger +3
Automated hyperparameter tuning aspires to facilitate the application of machine learning for non-experts. In the literature, different optimization approaches are applied for that…