Johannes Kirschner
Johannes Kirschner
ETH Zurich
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Cited by
Cited by
Adaptive and safe Bayesian optimization in high dimensions via one-dimensional subspaces
J Kirschner, M Mutny, N Hiller, R Ischebeck, A Krause
International Conference on Machine Learning, 3429-3438, 2019
Information directed sampling and bandits with heteroscedastic noise
J Kirschner, A Krause
Conference On Learning Theory, 358-384, 2018
Information-Directed Exploration for Deep Reinforcement Learning
N Nikolov, J Kirschner, F Berkenkamp, A Krause
arXiv preprint arXiv:1812.07544, 2018
Distributionally robust bayesian optimization
J Kirschner, I Bogunovic, S Jegelka, A Krause
International Conference on Artificial Intelligence and Statistics, 2174-2184, 2020
Asymptotically optimal information-directed sampling
J Kirschner, T Lattimore, C Vernade, C Szepesvári
Conference on Learning Theory, 2777-2821, 2021
Information directed sampling for linear partial monitoring
J Kirschner, T Lattimore, A Krause
Conference on Learning Theory, 2328-2369, 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
Stochastic bandits with context distributions
J Kirschner, A Krause
Advances in Neural Information Processing Systems, 14113-14122, 2019
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback
M Jourdan, M Mutný, J Kirschner, A Krause
Algorithmic Learning Theory, 805-849, 2021
Tuning particle accelerators with safety constraints using Bayesian optimization
J Kirschner, M Mutný, A Krause, JC de Portugal, N Hiller, J Snuverink
Physical Review Accelerators and Beams 25 (6), 062802, 2022
Bias-Robust Bayesian Optimization via Dueling Bandits
J Kirschner, A Krause
arXiv preprint arXiv:2105.11802, 2021
Information-Directed Sampling-Frequentist Analysis and Applications
J Kirschner
ETH Zurich, 2021
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
M Mutny, J Kirschner, A Krause
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10235 …, 2020
Near-optimal Policy Identification in Active Reinforcement Learning
X Li, V Mehta, J Kirschner, I Char, W Neiswanger, J Schneider, A Krause, ...
arXiv preprint arXiv:2212.09510, 2022
Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications
J Kirschner, T Lattimore, A Krause
arXiv preprint arXiv:2302.03683, 2023
Regret Minimization via Saddle Point Optimization
J Kirschner, A Bakhtiari, K Chandak, V Tkachuk, C Szepesvari
Sixteenth European Workshop on Reinforcement Learning, 2023
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
V Tkachuk, SA Bakhtiari, J Kirschner, M Jusup, I Bogunovic, C Szepesvári
International Conference on Artificial Intelligence and Statistics, 6342-6370, 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off
Z Zhang, J Kirschner, J Zhang, F Zanini, A Ayoub, M Dehghan, ...
arXiv preprint arXiv:2212.08949, 2022
Real-time railway (re-) scheduling without human-expert knowledge
F Corman, M Jusup, J Kirschner, T Birchler, S Curi, I Bogunovic, A Krause
22nd Swiss Transport Research Conference (STRC 2022), 2022
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