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Modulated Bayesian Optimization using Latent Gaussian Process Models., , , , and . CoRR, (2019)interpretable dynamics models for data-efficient reinforcement learning., , , and . ESANN, (2019)Compositional uncertainty in deep Gaussian processes., , , , , and . UAI, volume 124 of Proceedings of Machine Learning Research, page 480-489. AUAI Press, (2020)Virtual Reality, Live-Streaming & Co.. GI-Jahrestagung, volume P-275 of LNI, page 1811-1821. GI, (2017)Bayesian decomposition of multi-modal dynamical systems for reinforcement learning., , , and . Neurocomputing, (2020)Optimisation of a global climate model ensemble for prediction of extreme heat days., , , , and . CoRR, (2022)Modulating Surrogates for Bayesian Optimization., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 970-979. PMLR, (2020)Evaluating a Helicopter Pilot HMI for Rotor Strike Warning in a Simulated Environment., and . MESAS, volume 11472 of Lecture Notes in Computer Science, page 530-543. Springer, (2018)Programming Errors in Traversal Programs Over Structured Data., , and . LDTA, volume 238 of Electronic Notes in Theoretical Computer Science, page 135-153. Elsevier, (2008)Structured Models with Gaussian Processes.. Technical University of Munich, Germany, (2021)