14 results
(BibTeX)

**Analytical probabilistic modeling of RBE-weighted dose for ion therapy**
*Physics in Medicine and Biology (PMB)*, 62(23):8959-8982, 2017 (article)

**Analytical incorporation of fractionation effects in probabilistic treatment planning for intensity-modulated proton therapy**
*Medical Physics*, 2017 (article)

**New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481)**
*Dagstuhl Reports*, 6(11):142-167, 2017 (article)

**On the Design of LQR Kernels for Efficient Controller Learning**
*Proceedings of the 56th IEEE Conference on Decision and Control*, December 2017 (conference) Accepted

**Probabilistic Line Searches for Stochastic Optimization**
*Journal of Machine Learning Research*, 18(119):1-59, November 2017 (article)

**Probabilistic Active Learning of Functions in Structural Causal Models**
2017 (conference) Submitted

**Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning**
*arXiv preprint arXiv:1706.00241*, 2017 (article)

**Efficiency of analytical and sampling-based uncertainty propagation in intensity-modulated proton therapy**
*Physics in Medicine & Biology*, 62(14):5790-5807, 2017 (article)

**Early Stopping Without a Validation Set**
*arXiv preprint arXiv:1703.09580*, 2017 (article)

**Nonparametric Disturbance Correction and Nonlinear Dual Control**
(24098), ETH Zurich, 2017 (phdthesis)

**Dynamic Time-of-Flight**
*The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)*, pages: 170-179, 2017 (conference)

**Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets**
*Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017)*, 54, pages: 528-536, Proceedings of Machine Learning Research, (Editors: Sign, Aarti and Zhu, Jerry), PMLR, April 2017 (conference)

**Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization**
In *Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)*, pages: 1557-1563, IEEE International Conference on Robotics and Automation, May 2017 (inproceedings)

**Coupling Adaptive Batch Sizes with Learning Rates**
In *Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence (UAI)*, pages: 410-419, (Editors: Gal Elidan and Kristian Kersting), 2017 (inproceedings)