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Empirical Inference Conference Paper Global Connectivity Potentials for Random Field Models Nowozin, S., Lampert, C. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), CVPR 2009, :818-825, IEEE Service Center, Piscataway, NJ, USA, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2009 () PDF PDF Web DOI BibTeX
Empirical Inference Conference Paper Identifying confounders using additive noise models Janzing, D., Peters, J., Mooij, J., Schölkopf, B. In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, :249-257, (Editors: J Bilmes and AY Ng), AUAI Press, Corvallis, OR, USA, UAI, June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Influence of graph construction on graph-based clustering measures Maier, M., von Luxburg, U., Hein, M. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :1025-1032, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Kernel Measures of Independence for Non-IID Data Zhang, X., Song, L., Gretton, A., Smola, A. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :1937-1944, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Learning Complex Motions by Sequencing Simpler Motion Templates Neumann, G., Maass, W., Peters, J. In Proceedings of the 26th International Conference on Machine Learning (ICML 2009), ICML 2009, :753-760, (Editors: Danyluk, A. , L. Bottou, M. Littman), ACM Press, New York, NY, USA, 26th International Conference on Machine Learning, June 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Learning Similarity Measure for Multi-Modal 3D Image Registration Lee, D., Hofmann, M., Steinke, F., Altun, Y., Cahill, N., Schölkopf, B. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, :186-193, IEEE Service Center, Piscataway, NJ, USA, CVPR, June 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Learning Taxonomies by Dependence Maximization Blaschko, M., Gretton, A. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :153-160, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Talk Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer Lampert, C. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), June 2009 () Web BibTeX
Empirical Inference Conference Paper Learning object-specific grasp affordance densities Detry, R., Baseski, E., Popovic, M., Touati, Y., Krüger, N., Kroemer, O., Peters, J., Piater, J. In Proceedings of the 8th IEEE International Conference on Development and Learning (ICDL 2009), 8th IEEE International Conference on Development and Learning, :1-7, IEEE Service Center, Piscataway, NJ, USA, ICDL, June 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers Gehler, P., Nowozin, S. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Computer Society Conference on Computer Vision and Pattern Recognition, :2836-2843, IEEE Service Center, Piscataway, NJ, USA, CVPR, June 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Local Gaussian Process Regression for Real Time Online Model Learning and Control Nguyen-Tuong, D., Seeger, M., Peters, J. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :1193-1200, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Multi-way set enumeration in real-valued tensors Georgii, E., Tsuda, K., Schölkopf, B. In Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors (DMMT 2009), :32-41, (Editors: C Ding and T Li), ACM Press, New York, NY, USA, 2nd Workshop on Data Mining using Matrices and Tensors (DMMT/KDD 2009), June 2009 () PDF DOI BibTeX
Empirical Inference Conference Paper Non-parametric Regression between Riemannian Manifolds Steinke, F., Hein, M. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :1561-1568, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Nonlinear causal discovery with additive noise models Hoyer, P., Janzing, D., Mooij, J., Peters, J., Schölkopf, B. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :689-696, (Editors: D Koller and D Schuurmans and Y Bengio and L Bottou), Curran, Red Hook, NY, USA, 22nd Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Policy Search for Motor Primitives in Robotics Kober, J., Peters, J. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :849-856, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Regression by dependence minimization and its application to causal inference in additive noise models Mooij, J., Janzing, D., Peters, J., Schölkopf, B. In Proceedings of the 26th International Conference on Machine Learning, :745-752, (Editors: A Danyluk and L Bottou and M Littman), ACM Press, New York, NY, USA, ICML, June 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised Learning Nowozin, S., Jegelka, S. In Proceedings of the 26th International Conference on Machine Learning (ICML 2009), ICML 2009, :769-776, (Editors: Danyluk, A. , L. Bottou, M. Littman), ACM Press, New York, NY, USA, 26th International Conference on Machine Learning, June 2009 () PDF Web DOI BibTeX
Empirical Inference Book Chapter Text Clustering with Mixture of von Mises-Fisher Distributions Sra, S., Banerjee, A., Ghosh, J., Dhillon, I. In Text mining: classification, clustering, and applications, :121-161, Chapman & Hall/CRC data mining and knowledge discovery series, (Editors: Srivastava, A. N. and Sahami, M.), CRC Press, Boca Raton, FL, USA, June 2009 () Web DOI BibTeX
Empirical Inference Conference Paper The graphlet spectrum Kondor, R., Shervashidze, N., Borgwardt, K. In Proceedings of the 26th International Conference on Machine Learning (ICML 2009), :529-536, (Editors: Danyluk, A. , L. Bottou, M. Littman), ACM Press, New York, NY, USA, 26th International Conference on Machine Learning (ICML 2009), June 2009 () PDF DOI BibTeX
Empirical Inference Conference Paper Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing Grosse-Wentrup, M. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :561-568, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Using Bayesian Dynamical Systems for Motion Template Libraries Chiappa, S., Kober, J., Peters, J. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, :297-304, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Varieties of Justification in Machine Learning Corfield, D. In Proceedings of Multiplicity and Unification in Statistics and Probability, :1-10, Multiplicity and Unification in Statistics and Probability, June 2009 () PDF Web BibTeX
Empirical Inference Conference Paper A Bayesian Approach to Graph Regression with Relevant Subgraph Selection Chiappa, S., Saigo, H., Tsuda, K. In Proceedings of the 2009 SIAM International Conference on Data Mining (SDM 2009), SIAM International Conference on Data Mining, :295-304, (Editors: Park, H. , S. Parthasarathy, H. Liu), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, SDM, May 2009 () PDF Web BibTeX
Empirical Inference Conference Paper A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series Stegle, O., Denby, K., Wild, D., Ghahramani, Z., Borgwardt, K. In Research in Computational Molecular Biology: 13th Annual International Conference (RECOMB 2009), Research in Computational Molecular Biology, :201-216, (Editors: Batzoglou, S. ), Springer, Berlin, Germany, 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2009), May 2009 () Web DOI BibTeX
Empirical Inference Article Center-surround patterns emerge as optimal predictors for human saccade targets Kienzle, W., Franz, M., Schölkopf, B., Wichmann, F. Journal of Vision, 9(5:7):1-15, May 2009 () PDF DOI BibTeX
Empirical Inference Book Chapter Data Mining for Biologists Tsuda, K. In Biological Data Mining in Protein Interaction Networks, :14-27, (Editors: Li, X. and Ng, S.-K.), Medical Information Science Reference, Hershey, PA, USA, May 2009 () Web BibTeX
Empirical Inference Conference Paper Efficient data reuse in value function approximation Hachiya, H., Akiyama, T., Sugiyama, M., Peters, J. In Proceedings of the 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL 2009), IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning, :8-15, IEEE Service Center, Piscataway, NJ, USA, IEEE ADPRL, May 2009 () PDF Web DOI BibTeX
Empirical Inference Article Influence of Different Assignment Conditions on the Determination of Symmetric Homo-dimeric Structures with ARIA Bardiaux, B., Bernard, A., Rieping, W., Habeck, M., Malliavin, T., Nilges, M. Proteins, 75(3):569-585, May 2009 () Web DOI BibTeX
Empirical Inference Conference Paper Learning motor primitives for robotics Kober, J., Peters, J. In Proceedings of the 2009 IEEE International Conference on Robotics and Automation (ICRA 2009), :2112-2118, IEEE Service Center, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA '09), May 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction Kashima, H., Kato, T., Yamanishi, Y., Sugiyama, M., Tsuda, K. In Proceedings of the 2009 SIAM International Conference on Data Mining, :1099-1110, (Editors: Park, H. , S. Parthasarathy, H. Liu), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, SDM, May 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Near-optimal supervised feature selection among frequent subgraphs Thoma, M., Cheng, H., Gretton, A., Han, J., Kriegel, H., Smola, A., Song, L., Yu, P., Yan, X., Borgwardt, K. In Proccedings of the 2009 SIAM Conference on Data Mining (SDM 2009), :1076-1087, (Editors: Park, H. , S. Parthasarathy, H. Liu), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, 9th SIAM Conference on Data Mining (SDM 2009), May 2009 () PDF PDF BibTeX
Empirical Inference Technical Report Semi-supervised subspace analysis of human functional magnetic resonance imaging data Shelton, J., Blaschko, M., Bartels, A. (185), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2009 () PDF BibTeX
Empirical Inference Conference Paper Using reward-weighted imitation for robot Reinforcement Learning Peters, J., Kober, J. In Proceedings of the 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL 2009), IEEE ADPRL 2009, :226-232, IEEE Service Center, Piscataway, NJ, USA, 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning, May 2009 () Web DOI BibTeX
Empirical Inference Conference Paper A kernel method for unsupervised structured network inference Lippert, C., Stegle, O., Ghahramani, Z., Borgwardt, K. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :368-375, (Editors: Van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX
Empirical Inference Conference Paper An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward Hoffman, M., Freitas, N., Doucet, A., Peters, J. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :232-239, (Editors: van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX
Empirical Inference Article Beamforming in Noninvasive Brain-Computer Interfaces Grosse-Wentrup, M., Liefhold, C., Gramann, K., Buss, M. IEEE Transactions on Biomedical Engineering, 56(4):1209-1219, April 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Block Jacobi-type methods for non-orthogonal joint diagonalisation Shen, H., Hüper, K. In Proceedings of the 34th International Conference on Acoustics, Speech, and Signal Processing (ICASSP09), ICASSP09, :3285-3288, IEEE Service Center, Piscataway, NJ, USA, 34th International Conference on Acoustics, Speech, and Signal Processing, April 2009 () PDF Web DOI BibTeX
Empirical Inference Article Constructing Sparse Kernel Machines Using Attractors Lee, D., Jung, K., Lee, J. IEEE Transactions on Neural Networks, 20(4):721-729, April 2009 () Web DOI BibTeX
Empirical Inference Conference Paper Convex Perturbations for Scalable Semidefinite Programming Kulis, B., Sra, S., Dhillon, I. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :296-303, (Editors: van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX
Empirical Inference Conference Paper Denoising photographs using dark frames optimized by quadratic programming Gomez Rodriguez, M., Kober, J., Schölkopf, B. In Proceedings of the First IEEE International Conference on Computational Photography (ICCP 2009), :1-9, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP 2009), April 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Efficient Graphlet Kernels for Large Graph Comparison Shervashidze, N., Vishwanathan, S., Petri, T., Mehlhorn, K., Borgwardt, K. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :488-495, (Editors: Van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX
Empirical Inference Poster MR-Based Attenuation Correction for PET/MR Hofmann, M., Steinke, F., Bezrukov, I., Kolb, A., Aschoff, P., Lichy, M., Erb, M., Nägele, T., Brady, M., Schölkopf, B., et al. 17(260), 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), April 2009 () PDF Web BibTeX
Empirical Inference Conference Paper On Pairwise Kernels: An Efficient Alternative and Generalization Analysis Kashima, H., Oyama, S., Yamanishi, Y., Tsuda, K. In Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia Conference, :1030-1037, (Editors: Theeramunkong, T. , B. Kijsirikul, N. Cercone, T. B. Ho), Springer, Berlin, Germany, PAKDD, April 2009 () PDF Web DOI BibTeX
Empirical Inference Conference Paper Online blind deconvolution for astronomical imaging Harmeling, S., Hirsch, M., Sra, S., Schölkopf, B. In Proceedings of the First IEEE International Conference Computational Photography (ICCP 2009), :1-7, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP 2009), April 2009 () PDF Web DOI BibTeX
Empirical Inference Article Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters Maier, M., Hein, M., von Luxburg, U. Theoretical Computer Science, 410(19):1749-1764, April 2009 () PDF PDF DOI BibTeX
Empirical Inference Poster Optimization of k-Space Trajectories by Bayesian Experimental Design Seeger, M., Nickisch, H., Pohmann, R., Schölkopf, B. 17(2627), 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), April 2009 () PDF Web BibTeX
Empirical Inference Article Overlap and refractory effects in a Brain-Computer Interface speller based on the visual P300 Event-Related Potential Martens, S., Hill, N., Farquhar, J., Schölkopf, B. Journal of Neural Engineering, 6(2):1-9, April 2009 () PDF DOI BibTeX
Empirical Inference Conference Paper PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering Seldin, Y., Tishby, N. In In the proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :472-479, MIT Press, Cambridge, MA, USA, 12th International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX
Empirical Inference Ph.D. Thesis Kernel Methods in Computer Vision:Object Localization, Clustering,and Taxonomy Discovery Blaschko, M. Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2009 () PDF PDF BibTeX
Empirical Inference Article Gaussian Process Dynamic Programming Deisenroth, M., Rasmussen, C., Peters, J. Neurocomputing, 72(7-9):1508-1524, March 2009 () PDF PDF DOI BibTeX