2118 results
(View BibTeX file of all listed publications)

**Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences**
*IEEE International Conference on Robotics and Automation, (ICRA)*, pages: 596-601, IEEE, May 2018 (conference)

**Group invariance principles for causal generative models**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS)*, 84, pages: 557-565, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Boosting Variational Inference: an Optimization Perspective**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS)*, 84, pages: 464-472, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations**
*IEEE Robotics and Automation Letters*, 3(2):926-933, April 2018 (article)

**Probabilistic movement primitives under unknown system dynamics**
*Advanced Robotics*, 32(6):297-310, April 2018 (article)

**Cause-Effect Inference by Comparing Regression Errors**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) *, 84, pages: 900-909, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Will People Like Your Image? Learning the Aesthetic Space**
*2018 IEEE Winter Conference on Applications of Computer Vision (WACV)*, pages: 2048-2057, March 2018 (conference)

**An Algorithmic Perspective on Imitation Learning**
*Foundations and Trends in Robotics*, 7(1-2):1-179, March 2018 (article)

**Using Probabilistic Movement Primitives in Robotics**
*Autonomous Robots*, 42(3):529-551, March 2018 (article)

**Representation of sensory uncertainty in macaque visual cortex**
Computational and Systems Neuroscience (COSYNE) 2018, March 2018 (poster)

**A kernel-based approach to learning contact distributions for robot manipulation tasks**
*Autonomous Robots*, 42(3):581-600, March 2018 (article)

**Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation**
*Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM)*, pages: 324-332, (Editors: Yi Chang, Chengxiang Zhai, Yan Liu, and Yoelle Maarek), ACM, Febuary 2018 (conference)

**Approximate Value Iteration Based on Numerical Quadrature**
*IEEE Robotics and Automation Letters*, 3(2):1330-1337, January 2018 (article)

**Biomimetic Tactile Sensors and Signal Processing with Spike Trains: A Review**
*Sensors and Actuators A: Physical*, 269, pages: 41-52, January 2018 (article)

ei
Schölkopf, B.
**Die kybernetische Revolution**
*15-Mar-2018, Süddeutsche Zeitung*, 2018 (misc)

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

**Functional Programming for Modular Bayesian Inference**
*Proceedings of the ACM on Functional Programming (ICFP)*, 2(Article No. 83):1-29, ACM, 2018 (conference)

**Design and Analysis of the NIPS 2016 Review Process **
*Journal of Machine Learning Research*, 19(49):1-34, 2018, *equal contribution (article)

**Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks**
*Neural Networks*, 109, pages: 67-80, 2018 (article)

**A Flexible Approach for Fair Classification**
*Journal of Machine Learning*, 2018 (article) Accepted

**Adaptation and Robust Learning of Probabilistic Movement Primitives**
*IEEE Transactions on Robotics*, 2018 (article) In revision

**Automatic Bayesian Density Analysis**
2018 (conference) Submitted

**A virtual reality environment for experiments in assistive robotics and neural interfaces**
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

**Does universal controllability of physical systems prohibit thermodynamic cycles?**
*Open Systems and Information Dynamics*, 25(3):1850016, 2018 (article)

**Optimal Trajectory Generation and Learning Control for Robot Table Tennis**
Technical University Darmstadt, Germany, 2018 (phdthesis)

**Learning Causality and Causality-Related Learning: Some Recent Progress**
*National Science Review*, 5(1):26-29, 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

**Adversarial Extreme Multi-label Classification**
2018 (conference) Submitted

**Online optimal trajectory generation for robot table tennis**
*Robotics and Autonomous Systems*, 105, pages: 121-137, 2018 (article)

**Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise**
2018, *equal contribution (article) Submitted

**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)

**Hierarchical Reinforcement Learning of Multiple Grasping Strategies with Human Instructions**
*Advanced Robotics*, 32(18):955-968, 2018 (article)

**Probabilistic Deep Learning using Random Sum-Product Networks**
2018 (conference) Submitted

**k–SVRG: Variance Reduction for Large Scale Optimization**
In 2018 (inproceedings) Submitted

**On the Applicability of Machine Learning to Aid the Search for Gravitational Waves at the LIGO Experiment**
Karlsruhe Institute of Technology, Germany, 2018 (mastersthesis)

**Distribution-Dissimilarities in Machine Learning**
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

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

**Autofocusing-based phase correction**
*Magnetic Resonance in Medicine*, 80(3):958-968, 2018 (article)

**Generalized phase locking analysis of electrophysiology data**
*7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles*, 2018 (poster)

**Case series: Slowing alpha rhythm in late-stage ALS patients**
*Clinical Neurophysiology*, 129(2):406-408, 2018 (article)

**Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling**
*Journal of Machine Learning Research*, 19(69):1-45, 2018 (article)

**Grip Stabilization of Novel Objects using Slip Prediction**
*IEEE Transactions on Haptics*, 2018 (article) In press

**A Differentially Private Kernel Two-Sample Test**
2018, *equal contribution (conference) Submitted

**Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis—implications for brain–computer interfacing**
*Journal of Neural Engineering*, 15(4):041003, IOP Publishing, 2018 (article)

ei
Suter, R.
**A Causal Perspective on Deep Representation Learning**
ETH Zurich, 2018 (mastersthesis)

**Counterfactuals uncover the modular structure of deep generative models**
2018 (conference) Submitted

**Domain Adaptation Under Causal Assumptions**
Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)

**Quantum machine learning: a classical perspective**
*Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences*, 474(2209):20170551, 2018 (article)

**Kernel-based tests for joint independence**
*Journal of the Royal Statistical Society: Series B (Statistical Methodology)*, 80(1):5-31, 2018 (article)