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Falsification and future performance
In Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence, 7070, pages: 65-78, Lecture Notes in Computer Science, Springer, Berlin, Germany, Solomonoff 85th Memorial Conference, January 2013 (inproceedings)
Gopalan, N., Deisenroth, M., Peters, J.
Feedback Error Learning for Rhythmic Motor Primitives
In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), pages: 1317-1322, 2013 (inproceedings)
Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z.
Gaussian Process Vine Copulas for Multivariate Dependence
In Proceedings of the 30th International Conference on Machine Learning, W&CP 28(2), pages: 10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Poster:
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Lopez-Paz, D., Hennig, P., Schölkopf, B.
The Randomized Dependence Coefficient
In Advances in Neural Information Processing Systems 26, pages: 1-9, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Harmeling, S., Hirsch, M., Schölkopf, B.
On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit
In IEEE Conference on Computer Vision and Pattern Recognition, pages: 1083-1090, IEEE, CVPR, 2013 (inproceedings)
Dinuzzo, F., Ong, C., Fukumizu, K.
Output Kernel Learning Methods
In International Workshop on Advances in Regularization,
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Bocsi, B., Csato, L., Peters, J.
Alignment-based Transfer Learning for Robot Models
In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), pages: 1-7, 2013 (inproceedings)
Chen, Z., Zhang, K., Chan, L.
Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method
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Paraschos, A., Neumann, G., Peters, J.
A probabilistic approach to robot trajectory generation
In Proceedings of the 13th IEEE International Conference on Humanoid Robots (HUMANOIDS), pages: 477-483, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 (inproceedings)
Sra, S., Hosseini, R.
Geometric optimisation on positive definite matrices for elliptically contoured distributions
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Hennig, P.
Fast Probabilistic Optimization from Noisy Gradients
In Proceedings of The 30th International Conference on Machine Learning, JMLR W&CP 28(1), pages: 62–70, (Editors: S Dasgupta and D McAllester), ICML, 2013 (inproceedings)
Gomez Rodriguez, M., Leskovec, J., Schölkopf, B.
Structure and Dynamics of Information Pathways in On-line Media
In 6th ACM International Conference on Web Search and Data Mining (WSDM), pages: 23-32, (Editors: S Leonardi, A Panconesi, P Ferragina, and A Gionis), ACM, WSDM, 2013 (inproceedings)
Seldin, Y., Szepesvári, C., Auer, P., Abbasi-Yadkori, Y.
Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments
In Proceedings of the Tenth European Workshop on Reinforcement Learning , pages: 103-116, (Editors: MP Deisenroth and C Szepesvári and J Peters), JMLR, EWRL, 2013 (inproceedings)
Zhang, K., Schölkopf, B., Muandet, K., Wang, Z.
Domain adaptation under Target and Conditional Shift
In Proceedings of the 30th International Conference on Machine Learning, W&CP 28 (3), pages: 819–827, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 (inproceedings)
Mooij, J., Janzing, D., Schölkopf, B.
From Ordinary Differential Equations to Structural Causal Models: the deterministic case
In Proceedings of the Twenty-Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence, pages: 440-448, (Editors: A Nicholson and P Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 (inproceedings)
Schuler, C., Burger, H., Harmeling, S., Schölkopf, B.
A machine learning approach for non-blind image deconvolution
In IEEE Conference on Computer Vision and Pattern Recognition, pages: 1067-1074, IEEE, CVPR, 2013 (inproceedings)
Daniel, C., Neumann, G., Peters, J.
Autonomous Reinforcement Learning with Hierarchical REPS
In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), pages: 1-8, 2013 (inproceedings)
Feragen, A., Petersen, J., Grimm, D., Dirksen, A., Pedersen, JH., Borgwardt, KM., de Bruijne, M.
Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry
In Information Processing in Medical Imaging, pages: 171-183, (Editors: JC Gee and S Joshi and KM Pohl and WM Wells and L Zöllei), Springer, Berlin Heidelberg, 23rd International Conference on Information Processing in Medical Imaging (IPMI), 2013, Lecture Notes in Computer Science, Vol. 7017 (inproceedings)
Zhang, K., Wang, Z., Schölkopf, B.
On estimation of functional causal models: Post-nonlinear causal model as an example
In First IEEE ICDM workshop on causal discovery , 2013, Held in conjunction with the 12th IEEE International Conference on Data Mining (ICDM 2013) (inproceedings)
van Hoof, H., Krömer, O., Peters, J.
Object Modeling and Segmentation by Robot Interaction with Cluttered Environments
In Proceedings of the IEEE International Conference on Humanoid Robots (HUMANOIDS), pages: 169-176, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 (inproceedings)
Jegelka, S., Bach, F., Sra, S.
Reflection methods for user-friendly submodular optimization
In Advances in Neural Information Processing Systems 26, pages: 1313-1321, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Babbar, R., Partalas, I., Gaussier, E., Amini, M.
On Flat versus Hierarchical Classification in Large-Scale Taxonomies
In Advances in Neural Information Processing Systems 26, pages: 1824-1832, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Kupcsik, A., Deisenroth, M., Peters, J., Neumann, G.
Data-Efficient Generalization of Robot Skills with Contextual Policy Search
In Proceedings of the 27th National Conference on Artificial Intelligence (AAAI 2013), (Editors: desJardins, M. and Littman, M. L.), AAAI Press, 2013 (inproceedings)
Muandet, K., Schölkopf, B.
One-class Support Measure Machines for Group Anomaly Detection
In Proceedings 29th Conference on Uncertainty in Artificial Intelligence (UAI), pages: 449-458, (Editors: Ann Nicholson and Padhraic Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 (inproceedings)
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Modeling Information Propagation with Survival Theory
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Grosse-Wentrup, M., Harmeling, S., Zander, T., Hill, J., Schölkopf, B.
How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data
In Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI), pages: 102-105, IEEE Xplore Digital Library, PRNI, 2013 (inproceedings)
Sgouritsa, E., Janzing, D., Peters, J., Schölkopf, B.
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders
In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI), pages: 556-565, (Editors: A Nicholson and P Smyth), AUAI Press Corvallis, Oregon, USA, UAI, 2013 (inproceedings)
Köhler, R., Hirsch, M., Schölkopf, B., Harmeling, S.
Improving alpha matting and motion blurred foreground estimation
In IEEE Conference on Image Processing (ICIP), pages: 3446-3450, IEEE, ICIP, 2013 (inproceedings)
Peters, J., Kober, J., Mülling, K., Kroemer, O., Neumann, G.
Towards Robot Skill Learning: From Simple Skills to Table Tennis
In Machine Learning and Knowledge Discovery in Databases, Proceedings of the European Conference on Machine Learning, Part III (ECML 2013), LNCS 8190, pages: 627-631, (Editors: Blockeel, H.,Kersting, K., Nijssen, S., and Zelezný, F.), Springer, 2013 (inproceedings)
Klenske, E., Zeilinger, M., Schölkopf, B., Hennig, P.
Nonparametric dynamics estimation for time periodic systems
In Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing, pages: 486-493 , 2013 (inproceedings)
Feragen, A., Kasenburg, N., Petersen, J., de Bruijne, M., Borgwardt, KM.
Scalable kernels for graphs with continuous attributes
In Advances in Neural Information Processing Systems 26, pages: 216-224, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Schultz, T., Gröschel, S.
Auto-Calibrating Spherical Deconvolution Based on ODF Sparsity
In Proceedings of Medical Image Computing and Computer-Assisted Intervention, Part I, pages: 663-670, (Editors: K Mori and I Sakuma and Y Sato and C Barillot and N Navab), Springer, MICCAI, 2013, Lecture Notes in Computer Science, vol. 8149 (inproceedings)
Babbar, R., Partalas, I., Gaussier, E., Amini, M.
Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification
In Neural Information Processing - 20th International Conference, Proceedings, Part I, Lecture Notes in Computer Science, Vol. 8226, pages: 336-343, (Editors: M Lee and A Hirose and Z-G Hou and R M Kil), Springer, ICONIP, 2013 (inproceedings)
Muandet, K., Balduzzi, D., Schölkopf, B.
Domain Generalization via Invariant Feature Representation
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Daniel, C., Neumann, G., Peters, J.
Learning Sequential Motor Tasks
In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), 2013 (inproceedings)
Neumann, G., Kupcsik, A., Deisenroth, M., Peters, J.
Information-Theoretic Motor Skill Learning
In Proceedings of the 27th AAAI 2013, Workshop on Intelligent Robotic Systems (AAAI 2013), 2013 (inproceedings)
Sugiyama, M., Borgwardt, KM.
Measuring Statistical Dependence via the Mutual Information Dimension
In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), pages: 1692-1698, (Editors: Francesca Rossi), AAAI Press, Menlo Park, California, IJCAI, 2013 (inproceedings)
Bangert, M., Hennig, P., Oelfke, U.
Analytical probabilistic proton dose calculation and range uncertainties
In 17th International Conference on the Use of Computers in Radiation Therapy, pages: 6-11, (Editors: A. Haworth and T. Kron), ICCR, 2013 (inproceedings)
Kpotufe, S., Garg, V.
Adaptivity to Local Smoothness and Dimension in Kernel Regression
In Advances in Neural Information Processing Systems 26, pages: 3075-3083, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Besserve, M., Logothetis, N., Schölkopf, B.
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators
In Advances in Neural Information Processing Systems 26, pages: 2535-2543, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Rakitsch, B., Lippert, C., Borgwardt, KM., Stegle, O.
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
In Advances in Neural Information Processing Systems 26, pages: 1466-1474, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Babbar, R., Partalas, I., Metzig, C., Gaussier, E., Amini, M.
Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law
In The Semantic Web: ESWC 2013 Satellite Events, Lecture Notes in Computer Science, Vol. 7955 , pages: 310-311, (Editors: P Cimiano and M Fernández and V Lopez and S Schlobach and J Völker), Springer, ESWC, 2013 (inproceedings)
Englert, P., Paraschos, A., Peters, J., Deisenroth, M.
Model-based Imitation Learning by Probabilistic Trajectory Matching
In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), pages: 1922-1927, 2013 (inproceedings)
Zander, T., Battes, B., Schölkopf, B., Grosse-Wentrup, M.
Towards neurofeedback for improving visual attention
In Proceedings of the Fifth International Brain-Computer Interface Meeting: Defining the Future, pages: Article ID: 086, (Editors: J.d.R. Millán, S. Gao, R. Müller-Putz, J.R. Wolpaw, and J.E. Huggins), Verlag der Technischen Universität Graz, 5th International Brain-Computer Interface Meeting, 2013, Article ID: 086 (inproceedings)
Jung, M., Zscheischler, J.
A Guided Hybrid Genetic Algorithm for Feature Selection with Expensive Cost Functions
In Proceedings of the International Conference on Computational Science, 18, pages: 2337 - 2346, Procedia Computer Science, (Editors: Alexandrov, V and Lees, M and Krzhizhanovskaya, V and Dongarra, J and Sloot, PMA), Elsevier, Amsterdam, Netherlands, ICCS, 2013 (inproceedings)
Ben Amor, H., Vogt, D., Ewerton, M., Berger, E., Jung, B., Peters, J.
Learning responsive robot behavior by imitation
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), pages: 3257-3264, IEEE, 2013 (inproceedings)
Peters, J., Kober, J., Mülling, K., Kroemer, O., Neumann, G.
Learning Skills with Motor Primitives
In Proceedings of the 16th Yale Workshop on Adaptive and Learning Systems, 2013 (inproceedings)
Du, N., Song, L., Gomez Rodriguez, M., Zha, H.
Scalable Influence Estimation in Continuous-Time Diffusion Networks
In Advances in Neural Information Processing Systems 26, pages: 3147-3155, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Sugiyama, M., Borgwardt, KM.
Rapid Distance-Based Outlier Detection via Sampling
In Advances in Neural Information Processing Systems 26, pages: 467-475, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
Paraschos, A., Daniel, C., Peters, J., Neumann, G.
Probabilistic Movement Primitives
In Advances in Neural Information Processing Systems 26, pages: 2616-2624, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)
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