Johannes Kirschner
Johannes Kirschner
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TitleCited byYear
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
J Kirschner, M Mutný, N Hiller, R Ischebeck, A Krause
arXiv preprint arXiv:1902.03229, 2019
Information Directed Sampling and Bandits with Heteroscedastic Noise
J Kirschner, A Krause
arXiv preprint arXiv:1801.09667, 2018
Information-Directed Exploration for Deep Reinforcement Learning
N Nikolov, J Kirschner, F Berkenkamp, A Krause
arXiv preprint arXiv:1812.07544, 2018
Stochastic Bandits with Context Distributions
J Kirschner, A Krause
Advances in Neural Information Processing Systems, 14090-14099, 2019
Distributionally Robust Bayesian Optimization
J Kirschner, I Bogunovic, S Jegelka, A Krause
arXiv preprint arXiv:2002.09038, 2020
Bayesian Optimisation for Fast and Safe Parameter Tuning of SwissFEL
J Kirschner, M Nonnenmacher, M Mutný, A Krause, N Hiller, R Ischebeck, ...
FEL2019, Proceedings of the 39th International Free-Electron Laser …, 2019
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Articles 1–6