30 results
(View BibTeX file of all listed publications)

**Robot Learning**
In *Springer Handbook of Robotics*, pages: 357-394, 15, 2nd, (Editors: Siciliano, Bruno and Khatib, Oussama), Springer International Publishing, 2017 (inbook)

**Policy Gradient Methods**
In *Encyclopedia of Machine Learning and Data Mining*, pages: 982-985, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)

**Unsupervised clustering of EOG as a viable substitute for optical eye-tracking**
In *First Workshop on Eye Tracking and Visualization (ETVIS 2015)*, pages: 151-167, Mathematics and Visualization, (Editors: Burch, M., Chuang, L., Fisher, B., Schmidt, A., and Weiskopf, D.), Springer, 2017 (inbook)

**Statistical Asymmetries Between Cause and Effect**
In *Time in Physics*, pages: 129-139, Tutorials, Schools, and Workshops in the Mathematical Sciences, (Editors: Renner, Renato and Stupar, Sandra), Springer International Publishing, Cham, 2017 (inbook)

**Robot Learning**
In *Encyclopedia of Machine Learning and Data Mining*, pages: 1106-1109, 2nd, (Editors: Sammut, Claude and Webb, Geoffrey I.), Springer US, 2017 (inbook)

**From Optimal Transport to Generative Modeling: the VEGAN cookbook**
2017 (techreport)

**Causal Inference for Empirical Time Series Based on the Postulate of Independence of Cause and Mechanism**
*53rd Annual Allerton Conference on Communication, Control, and Computing*, September 2015 (talk)

**Kernel methods in medical imaging**
In *Handbook of Biomedical Imaging*, pages: 63-81, 4, (Editors: Paragios, N., Duncan, J. and Ayache, N.), Springer, Berlin, Germany, June 2015 (inbook)

**Independence of cause and mechanism in brain networks**
*DALI workshop on Networks: Processes and Causality*, April 2015 (talk)

**Information-Theoretic Implications of Classical and Quantum Causal Structures **
18th Conference on Quantum Information Processing (QIP), 2015 (talk)

**Cosmology from Cosmic Shear with DES Science Verification Data**
*arXiv preprint arXiv:1507.05552*, 2015 (techreport)

**The DES Science Verification Weak Lensing Shear Catalogs**
*arXiv preprint arXiv:1507.05603*, 2015 (techreport)

**Justifying Information-Geometric Causal Inference**
In *Measures of Complexity: Festschrift for Alexey Chervonenkis*, pages: 253-265, 18, (Editors: Vovk, V., Papadopoulos, H. and Gammerman, A.), Springer, 2015 (inbook)

**The search for single exoplanet transits in the Kepler light curves**
*IAU General Assembly*, 22, pages: 2258352, 2015 (talk)

**Some thoughts about Gaussian Processes**
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)

ei
Chapelle, O.
**A taxonomy of semi-supervised learning algorithms**
Yahoo!, December 2005 (talk)

**Popper, Falsification and the VC-dimension**
(145), Max Planck Institute for Biological Cybernetics, November 2005 (techreport)

**A Combinatorial View of Graph Laplacians**
(144), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2005 (techreport)

**Beyond Pairwise Classification and Clustering Using Hypergraphs**
(143), Max Planck Institute for Biological Cybernetics, August 2005 (techreport)

**Building Sparse Large Margin Classifiers**
The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)

**Learning from Labeled and Unlabeled Data on a Directed Graph**
The 22nd International Conference on Machine Learning, August 2005 (talk)

**Machine-Learning Approaches to BCI in Tübingen**
Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
(140), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2005 (techreport)

**Kernel Constrained Covariance for Dependence Measurement**
AISTATS, January 2005 (talk)

**Approximate Inference for Robust Gaussian Process Regression**
(136), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 (techreport)

**Support Vector Machines and Kernel Algorithms**
In *Encyclopedia of Biostatistics (2nd edition), Vol. 8*, 8, pages: 5328-5335, (Editors: P Armitage and T Colton), John Wiley & Sons, NY USA, 2005 (inbook)

**Visual perception
I: Basic principles**
In *Handbook of Cognition*, pages: 3-47, (Editors: Lamberts, K. , R. Goldstone), Sage, London, 2005 (inbook)

**Maximum-Margin Feature Combination
for Detection and Categorization**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 (techreport)

**Towards a Statistical Theory of Clustering. Presented at the PASCAL workshop on clustering, London**
Presented at the PASCAL workshop on clustering, London, 2005 (techreport)

**Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling**
(135), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2005 (techreport)