377 results
(View BibTeX file of all listed publications)

**Causal Inference from Passive Observations**
24th Summer School University of Jyväskylā, Finland, August, 2014 (talk)

**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)

**Sérsic galaxy models in weak lensing shape measurement: model bias, noise bias and their interaction**
*Monthly Notices of the Royal Astronomical Society*, 441(3):2528-2538, Oxford University Press, 2014 (article)

**Learning to Deblur**
In *NIPS 2014 Deep Learning and Representation Learning Workshop*, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Analysis of Distance Functions in Graphs**
University of Hamburg, Germany, University of Hamburg, Germany, 2014 (phdthesis)

**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)

**Towards an optimal stochastic alternating direction method of multipliers**
*Proceedings of the 31st International Conference on Machine Learning*, 32, pages: 620-628, (Editors: Xing, E. P. and Jebara, T.), JMLR, ICML, 2014 (conference)

**Diminished White Matter Integrity in Patients with Systemic Lupus Erythematosus**
*NeuroImage: Clinical*, 5, pages: 291-297, 2014 (article)

**Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem**
*Proceedings of the 27th Conference on Learning Theory*, 35, pages: 1276-1279, (Editors: Balcan, M.-F. and Szepesvári, C.), JMLR.org, COLT, 2014 (conference)

**Information-Theoretic Bounded Rationality and ϵ-Optimality**
*Entropy*, 16(8):4662-4676, August 2014 (article)

**Occam’s Razor in sensorimotor learning**
*Proceedings of the Royal Society of London B*, 281(1783):1-7, May 2014 (article)

**Generalized Thompson sampling for sequential decision-making and causal inference**
*Complex Adaptive Systems Modeling*, 2(2):1-23, March 2014 (article)

**Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences**
*Frontiers in Human Neuroscience*, 8(168):1-13, March 2014 (article)

**Curiosity-driven learning with Context Tree Weighting**
pages: 366-367, IEEE, Piscataway, NJ, USA, 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB), October 2014 (conference)

**Monte Carlo methods for exact & efficient solution of the generalized optimality equations**
pages: 4322-4327, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), June 2014 (conference)

**Kernel Methods for Measuring Independence**
*Journal of Machine Learning Research*, 6, pages: 2075-2129, December 2005 (article)

**Kernel ICA for Large Scale Problems**
In pages: -, NIPS Workshop on Large Scale Kernel Machines, December 2005 (inproceedings)

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

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

**A Unifying View of Sparse Approximate Gaussian Process Regression**
*Journal of Machine Learning Research*, 6, pages: 1935-1959, December 2005 (article)

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

**Extension to Kernel Dependency Estimation with Applications to Robotics**
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)

**Kernel methods for dependence testing in LFP-MUA**
35(689.17), 35th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2005 (poster)

**Training Support Vector Machines with Multiple Equality Constraints **
In *Proceedings of the 16th European Conference on Machine Learning, Lecture Notes in Computer Science, Vol. 3720*, pages: 182-193, (Editors: JG Carbonell and J Siekmann), Springer, Berlin, Germany, ECML, November 2005 (inproceedings)

**Geometrical aspects of statistical learning theory**
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734*, pages: 63-78, (Editors: S Jain and H-U Simon and E Tomita), Springer, Berlin, Germany, 16th International Conference ALT, October 2005 (inproceedings)

**Maximal Margin Classification for Metric Spaces**
*Journal of Computer and System Sciences*, 71(3):333-359, October 2005 (article)

**An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron**
In *Algorithmic Learning Theory: 16th International Conference*, pages: 78-92, Algorithmic Learning Theory, October 2005 (inproceedings)

**Selective integration of multiple biological data for supervised
network inference**
*Bioinformatics*, 21(10):2488 , October 2005 (article)

**Assessing Approximate Inference for Binary Gaussian Process Classification**
*Journal of Machine Learning Research*, 6, pages: 1679 , October 2005 (article)

**Implicit Surfaces For Modelling
Human Heads**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)

**Clustering on the Unit Hypersphere using von Mises-Fisher Distributions**
*Journal of Machine Learning Research*, 6, pages: 1345-1382, September 2005 (article)

**Support Vector Machines for 3D Shape Processing**
*Computer Graphics Forum*, 24(3, EUROGRAPHICS 2005):285-294, September 2005 (article)

**Rapid animal detection in natural scenes: Critical features are local**
*Journal of Vision*, 5(8):376, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**Fast Protein Classification with Multiple Networks**
*Bioinformatics*, 21(Suppl. 2):59-65, September 2005 (article)

**Iterative Kernel Principal Component Analysis for Image Modeling**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 27(9):1351-1366, September 2005 (article)

**Learning an Interest Operator from Eye Movements**
*International Workshop on Bioinspired Information Processing (BIP 2005)*, 2005, pages: 1, September 2005 (poster)

**Machine Learning Methods for Brain-Computer Interdaces**
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)

**Classification of natural scenes using global image statistics**
*Journal of Vision*, 5(8):602, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

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

**Phenotypic characterization of chondrosarcoma-derived cell lines**
*Cancer Letters*, 226(2):143-154, August 2005 (article)

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

**Local Rademacher Complexities**
*The Annals of Statistics*, 33(4):1497-1537, August 2005 (article)

**Building Sparse Large Margin Classifiers**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 996-1003, (Editors: L De Raedt and S Wrobel ), ACM, New York, NY, USA, ICML , August 2005 (inproceedings)

**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**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 1041 -1048, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, August 2005 (inproceedings)

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

**Regularization on Discrete Spaces**
In *Pattern Recognition, Lecture Notes in Computer Science, Vol. 3663*, pages: 361-368, (Editors: WG Kropatsch and R Sablatnig and A Hanbury), Springer, Berlin, Germany, 27th DAGM Symposium, August 2005 (inproceedings)

**Large Margin Non-Linear Embedding**
In *ICML 2005*, pages: 1065-1072, (Editors: De Raedt, L. , S. Wrobel), ACM Press, New York, NY, USA, 22nd International Conference on Machine Learning, August 2005 (inproceedings)

**Face Detection: Efficient and Rank Deficient**
In *Advances in Neural Information Processing Systems 17*, pages: 673-680, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)