32 results
(View BibTeX file of all listed publications)

**Deep Reinforcement Learning for Event-Triggered Control**
In *Proceedings of the 57th IEEE International Conference on Decision and Control (CDC)*, pages: 943-950, 57th IEEE International Conference on Decision and Control (CDC), December 2018 (inproceedings)

**Efficient Encoding of Dynamical Systems through Local Approximations**
In *Proceedings of the 57th IEEE International Conference on Decision and Control (CDC)*, pages: 6073 - 6079 , Miami, Fl, USA, December 2018 (inproceedings)

**Depth Control of Underwater Robots using Sliding Modes and Gaussian Process Regression**
In *Proceeding of the 15th Latin American Robotics Symposium*, João Pessoa, Brazil, 15th Latin American Robotics Symposium, November 2018 (inproceedings)

**Gait learning for soft microrobots controlled by light fields**
In *International Conference on Intelligent Robots and Systems (IROS) 2018*, pages: 6199-6206, International Conference on Intelligent Robots and Systems 2018, October 2018 (inproceedings)

**Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective**
*ArXiv preprint 2018*, arXiv:1810.03440 [stat.ME], October 2018 (article)

**Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty**
In *Proceedings of the IFAC Conference on Nonlinear Model Predictive Control (NMPC)*, Madison, Wisconsin, USA, 6th IFAC Conference on Nonlinear Model Predictive Control, August 2018 (inproceedings)

**Kernel Recursive ABC: Point Estimation with Intractable Likelihood**
*Proceedings of the 35th International Conference on Machine Learning*, pages: 2405-2414, PMLR, July 2018 (conference)

**Learning an Approximate Model Predictive Controller with Guarantees**
*IEEE Control Systems Letters*, 2(3):543-548, July 2018 (article)

**Probabilistic Recurrent State-Space Models**
In *Proceedings of the International Conference on Machine Learning (ICML)*, International Conference on Machine Learning (ICML), July 2018 (inproceedings)

**Convergence Rates of Gaussian ODE Filters**
*arXiv preprint 2018*, arXiv:1807.09737 [math.NA], July 2018 (article)

**Event-triggered Learning for Resource-efficient Networked Control**
In *Proceedings of the American Control Conference (ACC)*, pages: 6506 - 6512, American Control Conference, June 2018 (inproceedings)

**Poster Abstract: Toward Fast Closed-loop Control over Multi-hop Low-power Wireless Networks**
*Proceedings of the 17th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN)*, pages: 158-159, Porto, Portugal, April 2018 (poster)

**Evaluating Low-Power Wireless Cyber-Physical Systems**
In *Proceedings of the IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench)*, pages: 13-18, IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench), April 2018 (inproceedings)

**Distributed Event-Based State Estimation for Networked Systems: An LMI Approach**
*IEEE Transactions on Automatic Control*, 63(1):269-276, January 2018 (article)

**Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences**
*Arxiv e-prints*, arXiv:1805.08845v1 [stat.ML], 2018 (article)

**Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients**
In *Proceedings of the 35th International Conference on Machine Learning (ICML)*, 2018 (inproceedings) Accepted

**Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference**
*Arxiv e-prints*, arXiv:1805.08845v1 [stat.ML], 2018 (article)

**Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models**
*Arxiv e-prints*, arXiv:1409.5178v2 [stat.ML], 2018 (article)

**A probabilistic model for the numerical solution of initial value problems**
*Statistics and Computing*, Springer US, 2018 (article)

**Analytical incorporation of fractionation effects in probabilistic treatment planning for intensity-modulated proton therapy**
*Medical Physics*, 2018 (article)

**Probabilistic Approaches to Stochastic Optimization**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

**Large sample analysis of the median heuristic**
2018 (misc) In preparation

**Probabilistic Ordinary Differential Equation Solvers — Theory and Applications**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

**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)