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Rickard Karlsson
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Continuous surrogate-based optimization algorithms are well-suited for expensive discrete problems
R Karlsson, L Bliek, S Verwer, M Weerdt
Benelux Conference on Artificial Intelligence, 48-63, 2020
222020
EXPObench: benchmarking surrogate-based optimisation algorithms on expensive black-box functions
L Bliek, A Guijt, R Karlsson, S Verwer, M de Weerdt
Applied Soft Computing, 2023
92023
Detecting hidden confounding in observational data using multiple environments
RKA Karlsson, JH Krijthe
Thirty-Seventh Annual Conference on Neural Information Processing Systems, 2023
42023
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
RKA Karlsson, M Willbo, Z Hussain, RG Krishnan, D Sontag, ...
Proceedings of The 25th International Conference on Artificial Intelligence …, 2022
42022
Putting Causal Identification to the Test: Falsification using Multi-Environment Data
R Karlsson, Ș Creastă, JH Krijthe
Causal Representation Learning Workshop at NeurIPS 2023, 2023
2023
Hospital simulation model optimisation with a random ReLU expansion surrogate model
L Bliek, A Guijt, R Karlsson
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
2021
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