359 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)

**Domain adaptation-can quantity compensate for quality?**
*Annals of Mathematics and Artificial Intelligence*, 70(3):185-202, 2014 (article)

**oxel level [18]F-FDG PET/MRI unsupervised segmentation of the tumor microenvironment**
World Molecular Imaging Conference, 2014 (poster)

**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)

**The sample complexity of agnostic learning under deterministic labels**
In *Proceedings of the 27th Conference on Learning Theory*, 35, pages: 527-542, (Editors: Balcan, M.-F. and Feldman, V. and Szepesvári, C.), JMLR, COLT, 2014 (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)

**Learning an Interactive Segmentation System**
Max Planck Institute for Biological Cybernetics, December 2009 (techreport)

**Machine Learning for Brain-Computer Interfaces**
Mini-Symposia on Assistive Machine Learning for People with Disabilities at NIPS (AMD), December 2009 (talk)

**Learning Probabilistic Models via Bayesian Inverse Planning**
NIPS Workshop on Probabilistic Approaches for Robotics and Control, December 2009 (poster)

**Efficient Subwindow Search: A Branch and Bound Framework for Object Localization**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 31(12):2129-2142, December 2009 (article)

**Bayesian Quadratic Reinforcement Learning**
NIPS Workshop on Probabilistic Approaches for Robotics and Control, December 2009 (poster)

**A computational model of human table tennis for robot application**
In *AMS 2009*, pages: 57-64, (Editors: Dillmann, R. , J. Beyerer, C. Stiller, M. Zöllner, T. Gindele), Springer, Berlin, Germany, Autonome Mobile Systeme, December 2009 (inproceedings)

**PAC-Bayesian Approach to Formulation of Clustering Objectives**
NIPS Workshop on "Clustering: Science or Art? Towards Principled Approaches", December 2009 (talk)

**A second order sliding mode controller with polygonal constraints**
In pages: 6715-6719, IEEE, Piscataway, NJ, USA, 48th IEEE Conference on Decision and Control (CDC), December 2009 (inproceedings)

**Generation of three-dimensional random rotations in fitting and matching problems**
*Computational Statistics*, 24(4):719-731, December 2009 (article)

**Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data**
Women in Machine Learning Workshop (WiML), December 2009 (talk)

**Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning**
*Neural Networks*, 22(10):1399-1410, December 2009 (article)

**A PAC-Bayesian Approach to Formulation of Clustering Objectives**
In *Proceedings of the NIPS 2009 Workshop "Clustering: Science or Art? Towards Principled Approaches"*, pages: 1-4, NIPS Workshop "Clustering: Science or Art? Towards Principled Approaches", December 2009 (inproceedings)

**Policy Transfer in Apprenticeship Learning**
NIPS Workshop on Transfer Learning for Structured Data (TLSD-09), December 2009 (poster)

**Notes on Graph Cuts with Submodular Edge Weights**
In pages: 1-6, NIPS Workshop on Discrete Optimization in Machine Learning: Submodularity, Sparsity & Polyhedra (DISCML), December 2009 (inproceedings)

**Guest editorial: special issue on structured prediction**
*Machine Learning*, 77(2-3):161-164, December 2009 (article)

**Structured prediction by joint kernel support estimation**
*Machine Learning*, 77(2-3):249-269, December 2009 (article)

**Learning new basic Movements for Robotics**
In *AMS 2009*, pages: 105-112, (Editors: Dillmann, R. , J. Beyerer, C. Stiller, M. Zöllner, T. Gindele), Springer, Berlin, Germany, Autonome Mobile Systeme, December 2009 (inproceedings)

**From Motor Learning to Interaction Learning in Robots**
In *Proceedings of 7ème Journées Nationales de la Recherche en Robotique*, pages: 189-195, JNRR, November 2009 (inproceedings)

**Detection of objects in noisy images and site percolation on square lattices**
(2009-035), EURANDOM, Technische Universiteit Eindhoven, November 2009 (techreport)

**A note on ethical aspects of BCI**
*Neural Networks*, 22(9):1352-1357, November 2009 (article)

**Model Learning with Local Gaussian Process Regression**
*Advanced Robotics*, 23(15):2015-2034, November 2009 (article)

**An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction**
(187), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)

**Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution**
(188), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)

**Methods for feature selection in a learning machine**
United States Patent, No 7624074, November 2009 (patent)

**Event-Related Potentials in Brain-Computer Interfacing**
Invited lecture on the bachelor & masters course "Introduction to Brain-Computer Interfacing", October 2009 (talk)

**BCI2000 and Python**
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)

**Implementing a Signal Processing Filter in BCI2000 Using C++**
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)

**Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval**
In *ICCV 2009*, pages: 987-994, IEEE Computer Society, Piscataway, NJ, USA, Twelfth IEEE International Conference on Computer Vision, October 2009 (inproceedings)

**Algebraic polynomials and moments of stochastic integrals**
(2009-031), EURANDOM, Technische Universiteit Eindhoven, October 2009 (techreport)

**Toward a Theory of Consciousness**
In *The Cognitive Neurosciences*, pages: 1201-1220, (Editors: Gazzaniga, M.S.), MIT Press, Cambridge, MA, USA, October 2009 (inbook)

**Inferring textual entailment with a probabilistically sound calculus**
*Natural Language Engineering*, 15(4):459-477, October 2009 (article)

**Modeling and Visualizing Uncertainty in Gene Expression Clusters using Dirichlet Process Mixtures**
*IEEE/ACM Transactions on Computational Biology and Bioinformatics*, 6(4):615-628, October 2009 (article)