100 results
(View BibTeX file of all listed publications)

**Relative Entropy Inverse Reinforcement Learning**
In *JMLR Workshop and Conference Proceedings Volume 15: AISTATS 2011*, pages: 182-189, (Editors: Gordon, G. , D. Dunson, M. Dudík ), MIT Press, Cambridge, MA, USA, Fourteenth International Conference on Artificial Intelligence and Statistics, April 2011 (inproceedings)

**Removing noise from astronomical images using a pixel-specific noise model**
In pages: 8, (Editors: H Lensch and SL Narasimhan and ME Testorf), IEEE, Piscataway, NJ, USA, IEEE International Conference on Computational Photography (ICCP), April 2011 (inproceedings)

**Towards Motor Skill Learning for Robotics**
In *Robotics Research*, pages: 469-482, (Editors: Pradalier, C. , R. Siegwart, G. Hirzinger), Springer, Berlin, Germany, 14th International Symposium on Robotics Research (ISRR), January 2011 (inproceedings)

**Learning Visual Representations for Interactive Systems**
In *Robotics Research*, pages: 399-416, (Editors: Pradalier, C. , R. Siegwart, G. Hirzinger), Springer, Berlin, Germany, 14th International Symposium on Robotics Research (ISRR), January 2011 (inproceedings)

**A Non-Parametric Approach to Dynamic Programming**
In *Advances in Neural Information Processing Systems 24*, pages: 1719-1727, (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)

**Transfer Learning with Copulas**
In pages: 2, NIPS, Workshop on Copulas in Machine Learning, 2011 (inproceedings)

**Denoising sparse noise via online dictionary learning**
In *Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011*, pages: 2060 -2063, IEEE, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011 (inproceedings)

**PILCO: A Model-Based and Data-Efficient Approach to Policy Search**
In *Proceedings of the 28th International Conference on Machine Learning, ICML 2011*, pages: 465-472, (Editors: L Getoor and T Scheffer), Omnipress, 2011 (inproceedings)

**Kernel Bayes’ Rule**
In *Advances in Neural Information Processing Systems 24*, pages: 1737-1745, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (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)

**Efficient inference in matrix-variate Gaussian models with iid observation noise**
In *Advances in Neural Information Processing Systems 24*, pages: 630-638, (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)

**Expectation Propagation for the Estimation of Conditional Bivariate Copulas**
In pages: 2, NIPS, Workshop on Copulas in Machine Learning, 2011 (inproceedings)

**Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman LogDet Divergence**
In *IEEE International Conference on Computer Vision, ICCV 2011*, pages: 2399-2406, (Editors: DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool), IEEE, 13th International Conference on Computer Vision (ICCV), 2011 (inproceedings)

**Introducing the detection of auditory error responses based on BCI technology for passive interaction**
In *Proceedings of the 5th International Brain–Computer Interface Conference*, pages: 252-255, (Editors: GR Müller-Putz and R Scherer and M Billinger and A Kreilinger and V Kaiser and C Neuper), Graz: Verlag der Technischen Universität, 2011 (inproceedings)

**Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval**
In *Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III*, pages: 318-332, (Editors: D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis), Springer, 22th European Conference on Machine Learning (ECML), 2011 (inproceedings)

**Restricted boltzmann machines as useful tool for detecting oscillatory eeg components**
In *Proceedings of the 5th International Brain–Computer Interface Conference*, pages: 68-71, (Editors: GR Müller-Putz and R Scherer and M Billinger and A Kkreilinger and V Kaiser and C Neuper), Graz: Verlag der Technischen Universität, 2011 (inproceedings)

**Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation**
In *Advances in Neural Information Processing Systems 24*, pages: 2690-2698, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and FCN Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Phase transition in the family of p-resistances**
In *Advances in Neural Information Processing Systems 24*, pages: 379-387, (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)

**On Fast Approximate Submodular Minimization**
In *Advances in Neural Information Processing Systems 24*, pages: 460-468, (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)

**PAC-Bayesian Analysis of Contextual Bandits **
In *Advances in Neural Information Processing Systems 24*, pages: 1683-1691, (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)

**Fast projections onto L1,q-norm balls for grouped feature selection**
In *Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III*, pages: 305-317, (Editors: D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis), Springer, 22th European Conference on Machine Learning (ECML), 2011 (inproceedings)

**Kernel Belief Propagation**
In *Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15*, pages: 707-715, (Editors: G Gordon and D Dunson and M Dudík), JMLR, AISTATS, 2011 (inproceedings)

**On Causal Discovery with Cyclic Additive Noise Models**
In *Advances in Neural Information Processing Systems 24*, pages: 639-647, (Editors: J Shawe-Taylor and RS Zemel and PL Bartlett and FCN Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Additive Gaussian Processes**
In *Advances in Neural Information Processing Systems 24*, pages: 226-234, (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)

**k-NN Regression Adapts to Local Intrinsic Dimension**
In *Advances in Neural Information Processing Systems 24*, pages: 729-737, (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)

**Fast Newton-type Methods for Total-Variation with Applications**
In *Proceedings of the 28th International Conference on Machine Learning, ICML 2011*, pages: 313-320, (Editors: L Getoor and T Scheffer), Omnipress, 28th International Conference on Machine Learning (ICML), 2011 (inproceedings)

**Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees **
In *Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15*, pages: 324-332, (Editors: G Gordon and D Dunson and M Dudík), JMLR, AISTATS, 2011 (inproceedings)

**Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance**
In *Advances in Neural Information Processing Systems 24*, pages: 765-773, (Editors: Shawe-Taylor, John and Zemel, Richard S. and Bartlett, Peter L. and Pereira, Fernando C. N. and Weinberger, Kilian Q.), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**On the Complexity of Learning the Kernel Matrix**
In *Advances in Neural Information Processing Systems 15*, pages: 399-406, (Editors: Becker, S. , S. Thrun, K. Obermayer), The MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Cluster Kernels for Semi-Supervised Learning**
In *Advances in Neural Information Processing Systems 15*, pages: 585-592, (Editors: S Becker and S Thrun and K Obermayer), MIT Press, Cambridge, MA, USA, 16th Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Mismatch String Kernels for SVM Protein Classification**
In *Advances in Neural Information Processing Systems 15*, pages: 1417-1424, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Kernel Dependency Estimation**
In *Advances in Neural Information Processing Systems 15*, pages: 873-880, (Editors: S Becker and S Thrun and K Obermayer), MIT Press, Cambridge, MA, USA, 16th Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Linear Combinations of Optic Flow Vectors for Estimating Self-Motion: a Real-World Test of a Neural Model**
In *Advances in Neural Information Processing Systems 15*, pages: 1319-1326, (Editors: Becker, S., S. Thrun and K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Clustering with the Fisher score**
In *Advances in Neural Information Processing Systems 15*, pages: 729-736, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Marginalized Kernels between Labeled Graphs**
In *20th International Conference on Machine Learning*, pages: 321-328, (Editors: Faucett, T. and N. Mishra), 20th International Conference on Machine Learning, August 2003 (inproceedings)

**Sparse Gaussian Processes: inference, subspace identification and model selection**
In *Proceedings*, pages: 1-6, (Editors: Van der Hof, , Wahlberg), The Netherlands, 13th IFAC Symposium on System Identifiaction, August 2003, electronical version; Index ThA02-2 (inproceedings)

**Adaptive, Cautious, Predictive control with Gaussian Process Priors**
In *Proceedings of the 13th IFAC Symposium on System Identification*, pages: 1195-1200, (Editors: Van den Hof, P., B. Wahlberg and S. Weiland), Proceedings of the 13th IFAC Symposium on System Identification, August 2003 (inproceedings)

**On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics**
In *Humanoids Proceedings*, pages: 0-0, Humanoids Proceedings, July 2003, electronical version (inproceedings)

**A case based comparison of identification with neural network and Gaussian process models.**
In *Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS 2003*, 1, pages: 137-142, (Editors: Ruano, E.A.), Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS, April 2003 (inproceedings)

**On-Line One-Class Support Vector Machines. An Application to Signal Segmentation**
In *IEEE ICASSP Vol. 2*, pages: 709-712, IEEE ICASSP, April 2003 (inproceedings)

**The Kernel Mutual Information**
In *IEEE ICASSP Vol. 4*, pages: 880-883, IEEE ICASSP, April 2003 (inproceedings)

**Hierarchical Spatio-Temporal Morphable Models for Representation of
complex movements for Imitation Learning**
In *11th International Conference on Advanced Robotics*, (2):453-458, (Editors: Nunes, U., A. de Almeida, A. Bejczy, K. Kosuge and J.A.T. Machado), 11th International Conference on Advanced Robotics, January 2003 (inproceedings)

**Feature Selection for Support Vector Machines by Means of Genetic Algorithms**
In *15th IEEE International Conference on Tools with AI*, pages: 142-148, 15th IEEE International Conference on Tools with AI, 2003 (inproceedings)

**Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting**
In *IEEE International Conference on Acoustics, Speech and Signal Processing*, 2, pages: 701-704, IEEE International Conference on Acoustics, Speech and Signal Processing, 2003 (inproceedings)

**Unsupervised Clustering of Images using their Joint Segmentation**
In *The 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003)*, pages: 1-24, 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV), 2003 (inproceedings)

**Kernel Methods and Their Applications to Signal Processing**
In *Proceedings. (ICASSP ‘03)*, Special Session on Kernel Methods, pages: 860 , ICASSP, 2003 (inproceedings)

**Predictive control with Gaussian process models**
In *Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool*, pages: 352-356, (Editors: Zajc, B. and M. Tkal), Proceedings of IEEE Region 8 Eurocon: Computer as a Tool, 2003 (inproceedings)

**Distance-based classification with Lipschitz functions**
In *Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory*, pages: 314-328, (Editors: Schölkopf, B. and M.K. Warmuth), Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 2003 (inproceedings)

**Unsupervised Segmentation and Classification of Mixtures of Markovian Sources**
In *The 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics)*, pages: 1-15, 33rd Symposium on the Interface of Computing Science and Statistics (Interface - Frontiers in Data Mining and Bioinformatics), 2001 (inproceedings)

**Unsupervised Sequence Segmentation by a
Mixture of Switching Variable Memory Markov Sources**
In *In the proceeding of the 18th International Conference on Machine Learning (ICML 2001)*, pages: 513-520, 18th International Conference on Machine Learning (ICML), 2001 (inproceedings)