20 citations · 27 across the 3 of their papers we have counts for
3 papers
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
Rickard K. A. Karlsson, Martin Willbo, Zeshan Hussain +3
We study prediction of future outcomes with supervised models that use privileged information during learning. The privileged information comprises samples of time series observed…
EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
Laurens Bliek, Arthur Guijt, Rickard Karlsson +2
Surrogate algorithms such as Bayesian optimisation are especially designed for black-box optimisation problems with expensive objectives, such as hyperparameter tuning or simulatio…
Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems
Rickard Karlsson, Laurens Bliek, Sicco Verwer +1
One method to solve expensive black-box optimization problems is to use a surrogate model that approximates the objective based on previous observed evaluations. The surrogate, whi…