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2025
Mark Bayesian optimization in high dimensions : a journey through subspaces and challenges
Papenmeier, Leonard ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark Bayesian optimization across the spectrum of knowledge : enhancing efficiency through beliefs, information and assumptions
Hvarfner, Carl ^LU (2025)
- Thesis › Doctoral thesis (compilation)
2024
Mark BeBOP-Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks
Styrud, Jonathan ; Mayr, Matthias ^LU ; Hellsten, Erik ^LU ; Krueger, Volker ^LU and Smith, Christian (2024) 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 p.16459-16466
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2023
Mark Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces
Papenmeier, Leonard ^LU ; Nardi, Luigi ^LU and Poloczek, Matthias (2023) 37th Conference on Neural Information Processing Systems, NeurIPS 2023
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Improving the SM2RAIN-derived rainfall estimation using Bayesian optimization
Miao, Linguang ; Wei, Zushuai ; Zhong, Yanmei and Duan, Zheng ^LU (2023) In Journal of Hydrology 622.
- Contribution to journal › Article
2022
Mark Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Papenmeier, Leonard ^LU ; Nardi, Luigi ^LU and Poloczek, Matthias (2022) Advances in Neural Information Processing Systems 35, NeurIPS 2022
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
2021
Mark Learning of Parameters in Behavior Trees for Movement Skills
Mayr, Matthias ^LU ; Ahmad, Faseeh ^LU ; Chatzilygeroudis, Konstantinos ; Nardi, Luigi ^LU and Krueger, Volker ^LU (2021) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 p.7572-7572
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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