Publications

Empirical Inference Conference Paper Adaptivity to Local Smoothness and Dimension in Kernel Regression Kpotufe, S., Garg, V. In Advances in Neural Information Processing Systems 26, :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), 2013 () PDF BibTeX

Empirical Inference Conference Paper Alignment-based Transfer Learning for Robot Models Bocsi, B., Csato, L., Peters, J. In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), :1-7, 2013 () PDF DOI BibTeX

Empirical Inference Probabilistic Numerics Article Analytical probabilistic modeling for radiation therapy treatment planning Bangert, M., Hennig, P., Oelfke, U. Physics in Medicine and Biology, 58(16):5401-5419, 2013 () PDF DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Analytical probabilistic proton dose calculation and range uncertainties Bangert, M., Hennig, P., Oelfke, U. In 17th International Conference on the Use of Computers in Radiation Therapy, :6-11, (Editors: A. Haworth and T. Kron), ICCR, 2013 () BibTeX

Empirical Inference Poster Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M. Bernstein Conference, 2013 () DOI BibTeX

Empirical Inference Probabilistic Numerics Technical Report Animating Samples from Gaussian Distributions Hennig, P. (8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 () PDF BibTeX

Empirical Inference Conference Paper Auto-Calibrating Spherical Deconvolution Based on ODF Sparsity Schultz, T., Gröschel, S. In Proceedings of Medical Image Computing and Computer-Assisted Intervention, Part I, :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 () DOI BibTeX

Empirical Inference Conference Paper Automatic Malaria Diagnosis system Mehrjou, A., Abbasian, T., Izadi, M. In First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM), :205-211, 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper Autonomous Reinforcement Learning with Hierarchical REPS Daniel, C., Neumann, G., Peters, J. In Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013), :1-8, 2013 () DOI BibTeX

Empirical Inference Article Blind Retrospective Motion Correction of MR Images Loktyushin, A., Nickisch, H., Pohmann, R., Schölkopf, B. Magnetic Resonance in Medicine (MRM), 70(6):1608–1618, 2013 () DOI BibTeX

Empirical Inference Conference Paper Bounded Rational Decision-Making in Changing Environments Grau-Moya, J., Braun, D. :1-9, NIPS 2013 Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 () URL BibTeX

Empirical Inference Conference Paper Causal Inference on Time Series using Restricted Structural Equation Models Peters, J., Janzing, D., Schölkopf, B. In Advances in Neural Information Processing Systems 26, :154-162, (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), 2013 () PDF BibTeX

Empirical Inference Poster Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus Ramirez-Villegas, J., Logothetis, N., Besserve, M. 4th German Neurophysiology PhD Meeting Networks, 2013 () Web BibTeX

Empirical Inference Article Climate Extremes and the Carbon Cycle Reichstein, M., Bahn, M., Ciais, P., Frank, D., Mahecha, M., Seneviratne, S., Zscheischler, J., Beer, C., Buchmann, N., Frank, D., et al. Nature, 500:287-295, 2013 () DOI BibTeX

Empirical Inference Article Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising Bottou, L., Peters, J., Quiñonero-Candela, J., Charles, D., Chickering, D., Portugualy, E., Ray, D., Simard, P., Snelson, E. Journal of Machine Learning Research, 14:3207-3260, 2013 (Published) Web URL BibTeX

Empirical Inference Poster Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M. 43rd Annual Meeting of the Society for Neuroscience (Neuroscience 2013), 2013 () BibTeX

Empirical Inference Conference Paper Data-Efficient Generalization of Robot Skills with Contextual Policy Search Kupcsik, A., Deisenroth, M., Peters, J., Neumann, G. In Proceedings of the 27th National Conference on Artificial Intelligence (AAAI 2013), (Editors: desJardins, M. and Littman, M. L.), AAAI Press, 2013 () PDF BibTeX

Empirical Inference Conference Paper Density estimation from unweighted k-nearest neighbor graphs: a roadmap von Luxburg, U., Alamgir, M. In Advances in Neural Information Processing Systems 26, :225-233, (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), 2013 () PDF BibTeX

Empirical Inference Article Detecting regulatory gene–environment interactions with unmeasured environmental factors Fusi, N., Lippert, C., Borgwardt, K. M., Lawrence, N. D., Stegle, O. Bioinformatics, 29(11):1382-1389, 2013 (Published) DOI BibTeX

Empirical Inference Article Detection and attribution of large spatiotemporal extreme events in Earth observation data Zscheischler, J., Mahecha, M., Harmeling, S., Reichstein, M. Ecological Informatics, 15:66-73, 2013 () Web DOI BibTeX

Empirical Inference Conference Paper Domain Generalization via Invariant Feature Representation Muandet, K., Balduzzi, D., Schölkopf, B. In Proceedings of the 30th International Conference on Machine Learning, W&CP 28(1), :10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Volume 28, number 1 () Web BibTeX

Empirical Inference Talk Domain Generalization via Invariant Feature Representation Muandet, K. 30th International Conference on Machine Learning (ICML2013), 2013 () PDF BibTeX

Empirical Inference Poster Domain Generalization via Invariant Feature Representation Muandet, K., Balduzzi, D., Schölkopf, B. 30th International Conference on Machine Learning (ICML2013), 2013 () PDF BibTeX

Empirical Inference Conference Paper Domain adaptation under Target and Conditional Shift Zhang, K., Schölkopf, B., Muandet, K., Wang, Z. In Proceedings of the 30th International Conference on Machine Learning, W&CP 28 (3), :819–827, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 () PDF Web BibTeX

Empirical Inference Article Efficient network-guided multi-locus association mapping with graph cuts Azencott, C., Grimm, D., Sugiyama, M., Kawahara, Y., Borgwardt, K. Bioinformatics, 29(13):i171-i179, 2013 () DOI BibTeX

Empirical Inference Book Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik Schölkopf, B., Luo, Z., Vovk, V. Springer, 2013 (Published) BibTeX

Empirical Inference Conference Paper Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments Seldin, Y., Szepesvári, C., Auer, P., Abbasi-Yadkori, Y. In Proceedings of the Tenth European Workshop on Reinforcement Learning , :103-116, (Editors: MP Deisenroth and C Szepesvári and J Peters), JMLR, EWRL, 2013 () PDF Web BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Fast Probabilistic Optimization from Noisy Gradients Hennig, P. In Proceedings of The 30th International Conference on Machine Learning, JMLR W&CP 28(1), :62–70, (Editors: S Dasgupta and D McAllester), ICML, 2013 () PDF BibTeX

Empirical Inference Conference Paper Feedback Error Learning for Rhythmic Motor Primitives Gopalan, N., Deisenroth, M., Peters, J. In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), :1317-1322, 2013 () PDF DOI BibTeX

Empirical Inference Article Finding Potential Support Vectors in Separable Classification Problems Varagnolo, D., Del Favero, S., Dinuzzo, F., Schenato, L., Pillonetto, G. IEEE Transactions on Neural Networks and Learning Systems, 24(11):1799-1813, 2013 () DOI BibTeX

Empirical Inference Article Fragmentation of Slow Wave Sleep after Onset of Complete Locked-In State Soekadar, S. R., Born, J., Birbaumer, N., Bensch, M., Halder, S., Murguialday, A. R., Gharabaghi, A., Nijboer, F., Schölkopf, B., Martens, S. Journal of Clinical Sleep Medicine, 9(9):951-953, 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper From Ordinary Differential Equations to Structural Causal Models: the deterministic case Mooij, J., Janzing, D., Schölkopf, B. In Proceedings of the Twenty-Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence, :440-448, (Editors: A Nicholson and P Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 () PDF BibTeX

Empirical Inference Conference Paper Gaussian Process Vine Copulas for Multivariate Dependence Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z. In Proceedings of the 30th International Conference on Machine Learning, W&CP 28(2), :10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Poster: http://people.tuebingen.mpg.de/dlopez/papers/icml2013_gpvine_poster.pdf () PDF Web BibTeX

Empirical Inference Poster Gaussian Process Vine Copulas for Multivariate Dependence Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z. International Conference on Machine Learning (ICML 2013), 2013 (Published) PDF BibTeX

Empirical Inference Conference Paper Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry Feragen, A., Petersen, J., Grimm, D., Dirksen, A., Pedersen, J., Borgwardt, K., de Bruijne, M. In Information Processing in Medical Imaging, :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), 2013, Lecture Notes in Computer Science, Vol. 7017 () DOI BibTeX

Empirical Inference Conference Paper Geometric optimisation on positive definite matrices for elliptically contoured distributions Sra, S., Hosseini, R. In Advances in Neural Information Processing Systems 26, :2562-2570, (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), 2013 (Published) PDF BibTeX

Empirical Inference Article HiFiVE: A Hilbert Space Embedding of Fiber Variability Estimates for Uncertainty Modeling and Visualization Schultz, T., Schlaffke, L., Schölkopf, B., Schmidt-Wilcke, T. Computer Graphics Forum, 32(3):121-130, (Editors: B Preim, P Rheingans, and H Theisel), Blackwell Publishing, Oxford, UK, Eurographics Conference on Visualization (EuroVis), 2013 () DOI BibTeX

Empirical Inference Conference Paper How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data Grosse-Wentrup, M., Harmeling, S., Zander, T., Hill, J., Schölkopf, B. In Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI), :102-105, IEEE Xplore Digital Library, PRNI, 2013 () PDF DOI BibTeX

Empirical Inference Article Identification of stimulus cues in narrow-band tone-in-noise detection using sparse observer models Schönfelder, V., Wichmann, F. Journal of the Acoustical Society of America, 134(1):447-463, 2013 () DOI BibTeX

Empirical Inference Conference Paper Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders Sgouritsa, E., Janzing, D., Peters, J., Schölkopf, B. In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI), :556-565, (Editors: A Nicholson and P Smyth), AUAI Press Corvallis, Oregon, USA, UAI, 2013 () PDF BibTeX

Empirical Inference Article Imaging Findings and Therapy Response Monitoring in Chronic Sclerodermatous Graft-Versus-Host Disease: Preliminary Data of a Simultaneous PET/MRI Approach Sauter, A., Schmidt, H., Mantlik, F., Kolb, A., Federmann, B., Pfannenberg, C., Reimold, M., Pichler, B., Bethge, W., Horger, M. Clinical Nuclear Medicine, 38(8):e309-e317, 2013 () Web BibTeX

Empirical Inference Conference Paper Improving alpha matting and motion blurred foreground estimation Köhler, R., Hirsch, M., Schölkopf, B., Harmeling, S. In IEEE Conference on Image Processing (ICIP), :3446-3450, IEEE, ICIP, 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Information-Theoretic Motor Skill Learning Neumann, G., Kupcsik, A., Deisenroth, M., Peters, J. In Proceedings of the 27th AAAI 2013, Workshop on Intelligent Robotic Systems (AAAI 2013), 2013 () BibTeX

Empirical Inference Ph.D. Thesis Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models Wang, Z. Technical University Darmstadt, Germany, 2013 () BibTeX

Empirical Inference Article Interactive Domain Adaptation for the Classification of Remote Sensing Images using Active Learning Persello, C. IEEE Geoscience and Remote Sensing Letters, 10(4):736-740, 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals Rakitsch, B., Lippert, C., Borgwardt, K., Stegle, O. In Advances in Neural Information Processing Systems 26, :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), 2013 () PDF BibTeX

Empirical Inference Conference Paper Learning Sequential Motor Tasks Daniel, C., Neumann, G., Peters, J. In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), 2013 () PDF BibTeX

Empirical Inference Conference Paper Learning Skills with Motor Primitives Peters, J., Kober, J., Mülling, K., Kroemer, O., Neumann, G. In Proceedings of the 16th Yale Workshop on Adaptive and Learning Systems, 2013 () BibTeX

Empirical Inference Article Learning output kernels for multi-task problems Dinuzzo, F. Neurocomputing, 118:119-126, 2013 () DOI BibTeX

Empirical Inference Conference Paper Learning responsive robot behavior by imitation Ben Amor, H., Vogt, D., Ewerton, M., Berger, E., Jung, B., Peters, J. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), :3257-3264, IEEE, 2013 (Published) DOI BibTeX

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