37 results
(View BibTeX file of all listed publications)

**Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources**
*In Proceedings of the 58th IEEE International Conference on Decision and Control (CDC) *, 58th IEEE International Conference on Decision and Control (CDC), December 2019 (proceedings) Accepted

**Limitations of the empirical Fisher approximation for natural gradient descent**
*Advances in Neural Information Processing Systems 32*, pages: 4158-4169, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (conference)

**Convergence Guarantees for Adaptive Bayesian Quadrature Methods**
*Advances in Neural Information Processing Systems 32*, pages: 6234-6245, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (conference)

**A Learnable Safety Measure**
Conference on Robot Learning, November 2019 (conference) Accepted

**Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees**
*ACM Transactions on Cyber-Physical Systems*, 4(2):18, November 2019 (article)

**Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems**
In *Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems*, pages: 79-84, 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), September 2019 (inproceedings)

**Event-triggered Pulse Control with Model Learning (if Necessary)**
In *Proceedings of the American Control Conference*, pages: 792-797, American Control Conference (ACC), July 2019 (inproceedings)

**Data-driven inference of passivity properties via Gaussian process optimization**
In *Proceedings of the European Control Conference*, European Control Conference (ECC), June 2019 (inproceedings)

**Actively Learning Gaussian Process Dynamics**
2019 (techreport) Submitted

**Trajectory-Based Off-Policy Deep Reinforcement Learning**
In *Proceedings of the International Conference on Machine Learning (ICML)*, International Conference on Machine Learning (ICML), June 2019 (inproceedings)

**Resource-aware IoT Control: Saving Communication through Predictive Triggering**
*IEEE Internet of Things Journal*, 6(3):5013-5028, June 2019 (article)

**DeepOBS: A Deep Learning Optimizer Benchmark Suite**
*7th International Conference on Learning Representations (ICLR)*, May 2019 (conference)

**Feedback Control Goes Wireless: Guaranteed Stability over Low-power Multi-hop Networks**
In *Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems*, pages: 97-108, 10th ACM/IEEE International Conference on Cyber-Physical Systems, April 2019 (inproceedings)

**Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems**
*Proceedings of the 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN)*, pages: 340-341, 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), April 2019 (poster)

**Fast and Robust Shortest Paths on Manifolds Learned from Data**
*Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)*, 89, pages: 1506-1515, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)

**Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization**
*Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)*, 89, pages: 1448-1457, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)

**Fast and Resource-Efficient Control of Wireless Cyber-Physical Systems**
KTH Royal Institute of Technology, Stockholm, Febuary 2019 (phdthesis)

**Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study**
*IEEE Transactions on Control Systems Technology*, 2019 (article) Accepted

ics
Solowjow, F., Trimpe, S.
**Event-triggered Learning**
2019 (techreport) Submitted

**Probabilistic Linear Solvers: A Unifying View**
*Statistics and Computing*, 2019 (article) Accepted

**Event-triggered Learning for Linear Quadratic Control**
2019 (techreport)

**Actively Learning Dynamical Systems with Gaussian Processes**
Mines ParisTech, PSL Research University, 2019 (mastersthesis)

**Camera-specific Image Denoising**
Eberhard Karls Universität Tübingen, Germany, October 2013 (diplomathesis)

**Quasi-Newton Methods: A New Direction**
*Journal of Machine Learning Research*, 14(1):843-865, March 2013 (article)

**The Randomized Dependence Coefficient**
In *Advances in Neural Information Processing Systems 26*, pages: 1-9, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Fast Probabilistic Optimization from Noisy Gradients**
In *Proceedings of The 30th International Conference on Machine Learning, JMLR W&CP 28(1)*, pages: 62–70, (Editors: S Dasgupta and D McAllester), ICML, 2013 (inproceedings)

**Nonparametric dynamics estimation for time periodic systems**
In *Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing*, pages: 486-493 , 2013 (inproceedings)

**The Randomized Dependence Coefficient**
Neural Information Processing Systems (NIPS), 2013 (poster)

**Analytical probabilistic modeling for radiation therapy treatment planning**
*Physics in Medicine and Biology*, 58(16):5401-5419, 2013 (article)

**Analytical probabilistic proton dose calculation and range uncertainties**
In *17th International Conference on the Use of Computers in Radiation Therapy*, pages: 6-11, (Editors: A. Haworth and T. Kron), ICCR, 2013 (inproceedings)

**Animating Samples from Gaussian Distributions**
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)

**Quasi-Newton Methods: A New Direction**
In *Proceedings of the 29th International Conference on Machine Learning*, pages: 25-32, ICML ’12, (Editors: John Langford and Joelle Pineau), Omnipress, New York, NY, USA, ICML, July 2012 (inproceedings)

**Entropy Search for Information-Efficient Global Optimization**
*Journal of Machine Learning Research*, 13, pages: 1809-1837, -, June 2012 (article)

**Learning Tracking Control with Forward Models**
In pages: 259 -264, IEEE International Conference on Robotics and Automation (ICRA), May 2012 (inproceedings)

**Approximate Gaussian Integration using Expectation Propagation**
In pages: 1-11, -, January 2012 (inproceedings) Submitted

**Kernel Topic Models**
In *Fifteenth International Conference on Artificial Intelligence and Statistics*, 22, pages: 511-519, JMLR Proceedings, (Editors: Lawrence, N. D. and Girolami, M.), JMLR.org, AISTATS , 2012 (inproceedings)

**Nonparametric System Identification and Control for Periodic Error Correction in Telescopes**
University of Stuttgart, 2012 (diplomathesis)