35 results
(View BibTeX file of all listed publications)

**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)

**Optimal gamification can help people procrastinate less**
*Annual Meeting of the Society for Judgment and Decision Making*, Annual Meeting of the Society for Judgment and Decision Making, November 2017 (conference)

**Optimizing Long-term Predictions for Model-based Policy Search**
*Proceedings of 1st Annual Conference on Robot Learning (CoRL)*, 78, pages: 227-238, (Editors: Sergey Levine and Vincent Vanhoucke and Ken Goldberg), 1st Annual Conference on Robot Learning, November 2017 (conference)

**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)

**Model-Based Policy Search for Automatic Tuning of Multivariate PID Controllers**
In *Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)*, pages: 5295-5301, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), May 2017 (inproceedings)

**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)

**An automatic method for discovering rational heuristics for risky choice**
In *Proceedings of the 39th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society*, 2017, Falk Lieder and Paul M. Krueger contributed equally to this publication. (inproceedings)

**A reward shaping method for promoting metacognitive learning**
In *Proceedings of the Third Multidisciplinary Conference on Reinforcement Learning and Decision-Making*, 2017 (inproceedings)

**When does bounded-optimal metareasoning favor few cognitive systems?**
In *AAAI Conference on Artificial Intelligence*, 31, 2017 (inproceedings)

**The Structure of Goal Systems Predicts Human Performance**
In *Proceedings of the 39th Annual Meeting of the Cognitive Science Society*, 2017 (inproceedings)

**Learning to (mis) allocate control: maltransfer can lead to self-control failure**
In *The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making. Ann Arbor, Michigan*, 2017 (inproceedings)

**Mouselab-MDP: A new paradigm for tracing how people plan**
In *The 3rd multidisciplinary conference on reinforcement learning and decision making*, 2017 (inproceedings)

**Enhancing metacognitive reinforcement learning using reward structures and feedback**
In *Proceedings of the 39th Annual Meeting of the Cognitive Science Society*, 2017 (inproceedings)

**Helping people choose subgoals with sparse pseudo rewards**
In *Proceedings of the Third Multidisciplinary Conference on Reinforcement Learning and Decision Making*, 2017 (inproceedings)

**Probabilistic Progress Bars**
In *Conference on Pattern Recognition (GCPR)*, 8753, pages: 331-341, Lecture Notes in Computer Science, (Editors: Jiang, X., Hornegger, J., and Koch, R.), Springer, GCPR, September 2014 (inproceedings)

**Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics**
In *Proceedings of the 17th International Conference on Artificial Intelligence and Statistics*, 33, pages: 347-355, JMLR: Workshop and Conference Proceedings, (Editors: S Kaski and J Corander), Microtome Publishing, Brookline, MA, AISTATS, April 2014 (inproceedings)

**Probabilistic ODE Solvers with Runge-Kutta Means**
In *Advances in Neural Information Processing Systems 27*, pages: 739-747, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Active Learning of Linear Embeddings for Gaussian Processes**
In *Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence*, pages: 230-239, (Editors: NL Zhang and J Tian), AUAI Press , Corvallis, Oregon, UAI2014, 2014, another link: http://arxiv.org/abs/1310.6740 (inproceedings)

**Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers**
In *Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Lecture Notes in Computer Science Vol. 8675*, pages: 265-272, (Editors: P. Golland, N. Hata, C. Barillot, J. Hornegger and R. Howe), Springer, Heidelberg, MICCAI, 2014 (inproceedings)

**Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature**
In *Advances in Neural Information Processing Systems 27*, pages: 2789-2797, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**A Self-Tuning LQR Approach Demonstrated on an Inverted Pendulum**
In *Proceedings of the 19th IFAC World Congress*, Cape Town, South Africa, 2014 (inproceedings)

**Algorithm selection by rational metareasoning as a model of human strategy selection**
In *Advances in Neural Information Processing Systems 27*, 2014 (inproceedings)

**Incremental Local Gaussian Regression**
In *Advances in Neural Information Processing Systems 27*, pages: 972-980, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014, clmc (inproceedings)

**Efficient Bayesian Local Model Learning for Control**
In *Proceedings of the IEEE International Conference on Intelligent Robots and Systems*, pages: 2244 - 2249, IROS, 2014, clmc (inproceedings)

**Stability Analysis of Distributed Event-Based State Estimation**
In *Proceedings of the 53rd IEEE Conference on Decision and Control*, Los Angeles, CA, 2014 (inproceedings)

**The high availability of extreme events serves resource-rational decision-making**
In *Proceedings of the 36th Annual Conference of the Cognitive Science Society*, 2014 (inproceedings)

**Layers of Abstraction: (Neuro)computational models of learning local and global statistical regularities**
In *20th Annual Meeting of the Organization for Human Brain Mapping*, 2014 (inproceedings)

**Optimal Reinforcement Learning for Gaussian Systems**
In *Advances in Neural Information Processing Systems 24*, pages: 325-333, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**An Experimental Demonstration of a Distributed and Event-based State Estimation Algorithm**
In *Proceedings of the 18th IFAC World Congress*, 2011 (inproceedings)

**Reduced Communication State Estimation for Control of an Unstable Networked Control System**
In *Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference*, 2011 (inproceedings)

**Using an Infinite Von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy **
In pages: 746-751 , (Editors: Draghici, S. , T.M. Khoshgoftaar, V. Palade, W. Pedrycz, M.A. Wani, X. Zhu), IEEE, Piscataway, NJ, USA, Ninth International Conference on Machine Learning and Applications (ICMLA), December 2010 (inproceedings)

**Coherent Inference on Optimal Play in Game Trees**
In *JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010*, pages: 326-333, (Editors: Teh, Y.W. , M. Titterington ), JMLR, Cambridge, MA, USA, Thirteenth International Conference on Artificial Intelligence and Statistics, May 2010 (inproceedings)

**Accelerometer-based Tilt Estimation of a Rigid Body with only Rotational Degrees of Freedom**
In *Proceedings of the IEEE International Conference on Robotics and Automation*, 2010 (inproceedings)