78 results
(View BibTeX file of all listed publications)

**How do people learn how to plan?**
Conference on Cognitive Computational Neuroscience, September 2019 (conference)

**An ACT-R approach to investigating mechanisms of performance-related changes in an interrupted learning task**
41st Annual Meeting of the Cognitive Science Society., July 2019 (conference)

**How should we incentivize learning? An optimal feedback mechanism for educational games and online courses**
41st Annual Meeting of the Cognitive Science Society, July 2019 (conference)

**What’s in the Adaptive Toolbox and How Do People Choose From It? Rational Models of Strategy Selection in Risky Choice**
41st Annual Meeting of the Cognitive Science Society, July 2019 (conference)

**Measuring how people learn how to plan**
RLDM 2019, July 2019 (conference)

**Measuring how people learn how to plan**
41st Annual Meeting of the Cognitive Science Society, July 2019 (conference)

**A model-based explanation of performance related changes in abstract stimulus-response learning**
52nd Annual Meeting of the Society for Mathematical Psychology, July 2019 (conference)

**A cognitive tutor for helping people overcome present bias**
RLDM 2019, July 2019 (conference)

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

**Fast and Robust Shortest Paths on Manifolds Learned from Data**
* 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)*, April 2019 (conference) Accepted

**Memory-related cognitive load effects in abstract symbol learning tasks: A model-based explanation**
Cognitive Modeling Spring School, April 2019 (conference)

**Spatial Continuity Effect vs. Spatial Contiguity Failure. Revising the Effects of Spatial Proximity Between Related and Unrelated Representations**
*Frontiers in Education*, 4:86, 2019 (article)

**Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources**
*Behavioral and Brain Sciences*, 2019 (article)

**Doing more with less: Meta-reasoning and meta-learning in humans and machines**
*Current Opinion in Behavioral Sciences*, 2019 (article)

**Cognitive Prostheses for Goal Achievement**
*Nature Human Behavior*, 2019 (article)

**Remediating cognitive decline with cognitive tutors**
RLDM 2019, 2019 (conference)

**Effects of system response delays on elderly humans’ cognitive performance in a virtual training scenario**
*Scientific Reports*, 9:8291, 2019 (article)

**Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization**
2019 (conference) Accepted

**A rational reinterpretation of dual process theories**
2019 (article)

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

**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)

**Discovering and Teaching Optimal Planning Strategies**
In *The 14th biannual conference of the German Society for Cognitive Science, GK*, September 2018 (inproceedings)

**Discovering Rational Heuristics for Risky Choice**
*The 14th biannual conference of the German Society for Cognitive Science, GK*, The 14th biannual conference of the German Society for Cognitive Science, GK, September 2018 (conference)

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

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

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

**Learning to select computations**
In *Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference*, 2018 (inproceedings)

**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)

**On the Design of LQR Kernels for Efficient Controller Learning**
*Proceedings of the 56th IEEE Annual Conference on Decision and Control (CDC)*, pages: 5193-5200, IEEE, IEEE Conference on Decision and Control, December 2017 (conference)

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

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

**Dynamic Time-of-Flight**
*Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017*, pages: 170-179, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 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, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (inproceedings)

**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)

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

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

**Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings**
*Arxiv e-prints*, arXiv:1709.00147v1 [math.NA], 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)

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

**Approximate dual control maintaining the value of information with an application to building control**
In *European Control Conference (ECC)*, pages: 800-806, June 2016 (inproceedings)

**Active Uncertainty Calibration in Bayesian ODE Solvers**
*Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI)*, pages: 309-318, (Editors: Ihler, A. and Janzing, D.), AUAI Press, June 2016 (conference)

**Automatic LQR Tuning Based on Gaussian Process Global Optimization**
In *Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)*, pages: 270-277, IEEE, IEEE International Conference on Robotics and Automation, May 2016 (inproceedings)

**Batch Bayesian Optimization via Local Penalization**
*Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)*, 51, pages: 648-657, JMLR Workshop and Conference Proceedings, (Editors: Gretton, A. and Robert, C. C.), May 2016 (conference)

**Probabilistic Approximate Least-Squares**
*Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)*, 51, pages: 676-684, JMLR Workshop and Conference Proceedings, (Editors: Gretton, A. and Robert, C. C. ), May 2016 (conference)

**Gaussian Process-Based Predictive Control for Periodic Error Correction **
*IEEE Transactions on Control Systems Technology *, 24(1):110-121, 2016 (article)

**Dual Control for Approximate Bayesian Reinforcement Learning**
*Journal of Machine Learning Research*, 17(127):1-30, 2016 (article)