Publications

Empirical Inference Article Learning to Select and Generalize Striking Movements in Robot Table Tennis Mülling, K., Kober, J., Kroemer, O., Peters, J. International Journal of Robotics Research, 32(3):263-279, 2013 () PDF DOI BibTeX

Empirical Inference Ph.D. Thesis Linear mixed models for genome-wide association studies Lippert, C. University of Tübingen, Germany, 2013 () BibTeX

Empirical Inference Talk MR-Based Attenuation Correction for Combined Brain PET/MR: Robustness of Atlas- and Pattern Recognition Method to Atlas Registration Failures Mantlik, F., Bezrukov, I., Hofmann, M., Schölkopf, B., Pichler, B. IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE MIC 2013), 2013 (Published) BibTeX

Empirical Inference Article MR-based Attenuation Correction Methods for Improved PET Quantification in Lesions within Bone and Susceptibility Artifact Regions Bezrukov, I., Schmidt, H., Mantlik, F., Schwenzer, N., Brendle, C., Schölkopf, B., Pichler, B. Journal of Nuclear Medicine, 54(10):1768-1774, 2013 () Web DOI BibTeX

Empirical Inference Article MR-based PET Attenuation Correction for PET/MR Imaging Bezrukov, I., Mantlik, F., Schmidt, H., Schölkopf, B., Pichler, B. Seminars in Nuclear Medicine, 43(1):45-59, 2013 () DOI BibTeX

Empirical Inference Technical Report Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era Hogg, D. W., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Lang, D., Montet, B. T., et al. arXiv:1309.0653, 2013 (Published) URL BibTeX

Empirical Inference Technical Report Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars Montet, B. T., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Hogg, D. W., Lang, D., et al. arXiv:1309.0654, 2013 (Published) URL BibTeX

Empirical Inference Conference Paper Measuring Statistical Dependence via the Mutual Information Dimension Sugiyama, M., Borgwardt, K. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), :1692-1698, (Editors: Francesca Rossi), AAAI Press, Menlo Park, California, IJCAI, 2013 () BibTeX

Empirical Inference Article Metabolic cost as an organizing principle for cooperative learning Balduzzi, D., Ortega, P., Besserve, M. Advances in Complex Systems, 16(02n03):1350012, 2013 () Web DOI BibTeX

Empirical Inference Conference Paper Model-based Imitation Learning by Probabilistic Trajectory Matching Englert, P., Paraschos, A., Peters, J., Deisenroth, M. In Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013), :1922-1927, 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Modeling Information Propagation with Survival Theory Gomez Rodriguez, M., Leskovec, J., Schölkopf, B. In Proceedings of the 30th International Conference on Machine Learning, JMLR W&CP 28 (3), :666-674, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 () Web BibTeX

Empirical Inference Ph.D. Thesis Modeling and Learning Complex Motor Tasks: A case study on Robot Table Tennis Mülling, K. Technical University Darmstadt, Germany, 2013 () BibTeX

Empirical Inference Article Modeling fixation locations using spatial point processes Barthelmé, S., Trukenbrod, H., Engbert, R., Wichmann, F. Journal of Vision, 13(12):1-34, 2013 () Web DOI BibTeX

Empirical Inference Ph.D. Thesis Modelling and Learning Approaches to Image Denoising Burger, H. C. Eberhard Karls Universität Tübingen, Germany, 2013 () BibTeX

Empirical Inference Article Multimodal information improves the rapid detection of mental fatigue Laurent, F., Valderrama, M., Besserve, M., Guillard, M., Lachaux, J., Martinerie, J., Florence, G. Biomedical Signal Processing and Control, 8(4):400 - 408, 2013 () Web DOI BibTeX

Empirical Inference Conference Paper Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method Chen, Z., Zhang, K., Chan, L. In 13th International Conference on Data Mining, :1003-1008, (Editors: H. Xiong, G. Karypis, B. M. Thuraisingham, D. J. Cook and X. Wu), IEEE Computer Society, ICDM, 2013 () DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Nonparametric dynamics estimation for time periodic systems Klenske, E., Zeilinger, M., Schölkopf, B., Hennig, P. In Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing, :486-493 , 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Object Modeling and Segmentation by Robot Interaction with Cluttered Environments van Hoof, H., Krömer, O., Peters, J. In Proceedings of the IEEE International Conference on Humanoid Robots (HUMANOIDS), :169-176, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 () DOI BibTeX

Empirical Inference Conference Paper On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit Harmeling, S., Hirsch, M., Schölkopf, B. In IEEE Conference on Computer Vision and Pattern Recognition, :1083-1090, IEEE, CVPR, 2013 (Published) DOI BibTeX

Empirical Inference Conference Paper On estimation of functional causal models: Post-nonlinear causal model as an example Zhang, K., Wang, Z., Schölkopf, B. In First IEEE ICDM workshop on causal discovery , 2013, Held in conjunction with the 12th IEEE International Conference on Data Mining (ICDM 2013) () PDF BibTeX

Empirical Inference Book Chapter On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension Seldin, Y., Schölkopf, B. In Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, :53-57, 6, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (Published) BibTeX

Empirical Inference Conference Paper One-class Support Measure Machines for Group Anomaly Detection Muandet, K., Schölkopf, B. In Proceedings 29th Conference on Uncertainty in Artificial Intelligence (UAI), :449-458, (Editors: Ann Nicholson and Padhraic Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 () PDF BibTeX

Empirical Inference Poster One-class Support Measure Machines for Group Anomaly Detection Muandet, K., Schölkopf, B. 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), 2013 () PDF BibTeX

Empirical Inference Article Open-Box Spectral Clustering: Applications to Medical Image Analysis Schultz, T., Kindlmann, G. IEEE Transactions on Visualization and Computer Graphics, 19(12):2100-2108, 2013 () DOI BibTeX

Empirical Inference Conference Paper Output Kernel Learning Methods Dinuzzo, F., Ong, C., Fukumizu, K. In International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications, ROKS, 2013 () BibTeX

Empirical Inference Article Probabilistic Model-based Imitation Learning Englert, P., Paraschos, A., Peters, J., Deisenroth, M. Adaptive Behavior Journal, 21(5):388-403, 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Probabilistic Movement Primitives Paraschos, A., Daniel, C., Peters, J., Neumann, G. In Advances in Neural Information Processing Systems 26, :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), 2013 () PDF PDF BibTeX

Empirical Inference Article Probabilistic movement modeling for intention inference in human-robot interaction Wang, Z., Mülling, K., Deisenroth, M., Ben Amor, H., Vogt, D., Schölkopf, B., Peters, J. International Journal of Robotics Research, 32(7):841-858, 2013 () PDF DOI BibTeX

Empirical Inference Proceedings Proceedings of the 10th European Workshop on Reinforcement Learning, Volume 24 Deisenroth, M., Szepesvári, C., Peters, J. :173, JMLR, European Workshop On Reinforcement Learning, EWRL, 2013 () Web BibTeX

Empirical Inference Article Quantifying causal influences Janzing, D., Balduzzi, D., Grosse-Wentrup, M., Schölkopf, B. Annals of Statistics, 41(5):2324-2358, 2013 () Web BibTeX

Empirical Inference Talk Random Projections (Computational and Biological Learning Lab, University of Cambridge, 2013) Lopez-Paz, D., Duvenaud, D. 2013 () PDF Web BibTeX

Empirical Inference Conference Paper Rapid Distance-Based Outlier Detection via Sampling Sugiyama, M., Borgwardt, K. In Advances in Neural Information Processing Systems 26, :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), 2013 () PDF BibTeX

Empirical Inference Conference Paper Reflection methods for user-friendly submodular optimization Jegelka, S., Bach, F., Sra, S. In Advances in Neural Information Processing Systems 26, :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), 2013 (Published) PDF BibTeX

Empirical Inference Conference Paper Regression-tree Tuning in a Streaming Setting Kpotufe, S., Orabona, F. In Advances in Neural Information Processing Systems 26, :1788-1796, (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 Reinforcement Learning in Robotics: A Review Kober, J., Bagnell, D., Peters, J. International Journal of Robotics Research, 32(11):1238–1274, 2013 () PDF DOI BibTeX

Empirical Inference Conference Paper Scalable Influence Estimation in Continuous-Time Diffusion Networks Du, N., Song, L., Gomez Rodriguez, M., Zha, H. In Advances in Neural Information Processing Systems 26, :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), 2013 () PDF PDF BibTeX

Empirical Inference Conference Paper Scalable kernels for graphs with continuous attributes Feragen, A., Kasenburg, N., Petersen, J., de Bruijne, M., Borgwardt, K. In Advances in Neural Information Processing Systems 26, :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), 2013 () PDF BibTeX

Empirical Inference Book Chapter Semi-supervised learning in causal and anticausal settings Schölkopf, B., Janzing, D., Peters, J., Sgouritsa, E., Zhang, K., Mooij, J. In Empirical Inference, :129-141, 13, Festschrift in Honor of Vladimir Vapnik, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 () DOI BibTeX

Empirical Inference Article Simultaneous PET/MR reveals Brain Function in Activated and Resting State on Metabolic, Hemodynamic and Multiple Temporal Scales Wehrl, H., Hossain, M., Lankes, K., Liu, C., Bezrukov, I., Martirosian, P., Schick, F., Reischl, G., Pichler, B. Nature Medicine, 19:1184–1189, 2013 () Web DOI BibTeX

Empirical Inference Conference Paper Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators Besserve, M., Logothetis, N., Schölkopf, B. In Advances in Neural Information Processing Systems 26, :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), 2013 () PDF BibTeX

Empirical Inference Article Structural learning Braun, D. Scholarpedia, 8(10):12312, October 2013 () DOI BibTeX

Empirical Inference Conference Paper Structure and Dynamics of Information Pathways in On-line Media Gomez Rodriguez, M., Leskovec, J., Schölkopf, B. In 6th ACM International Conference on Web Search and Data Mining (WSDM), :23-32, (Editors: S Leonardi, A Panconesi, P Ferragina, and A Gionis), ACM, WSDM, 2013 () Web DOI BibTeX

Empirical Inference Probabilistic Numerics Conference Paper The Randomized Dependence Coefficient Lopez-Paz, D., Hennig, P., Schölkopf, B. In Advances in Neural Information Processing Systems 26, :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), 2013 () PDF BibTeX

Empirical Inference Probabilistic Numerics Poster The Randomized Dependence Coefficient Lopez-Paz, D., Hennig, P., Schölkopf, B. Neural Information Processing Systems (NIPS 2013), 2013 () PDF BibTeX

Empirical Inference Article The effect of model uncertainty on cooperation in sensorimotor interactions Grau-Moya, J., Hez, E., Pezzulo, G., Braun, D. Journal of the Royal Society Interface, 10(87):1-11, October 2013 () DOI BibTeX

Empirical Inference Article Thermodynamics as a theory of decision-making with information-processing costs Ortega, P., Braun, D. Proceedings of the Royal Society of London A, 469(2153):1-18, May 2013 () DOI BibTeX

Empirical Inference Conference Paper Towards Robot Skill Learning: From Simple Skills to Table Tennis Peters, J., Kober, J., Mülling, K., Kroemer, O., Neumann, G. In Machine Learning and Knowledge Discovery in Databases, Proceedings of the European Conference on Machine Learning, Part III (ECML 2013), LNCS 8190:627-631, (Editors: Blockeel, H.,Kersting, K., Nijssen, S., and Zelezný, F.), Springer, 2013 (Published) PDF DOI BibTeX

Empirical Inference Conference Paper Towards neurofeedback for improving visual attention Zander, T., Battes, B., Schölkopf, B., Grosse-Wentrup, M. In Proceedings of the Fifth International Brain-Computer Interface Meeting: Defining the Future, :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 () PDF DOI BibTeX

Empirical Inference Book Chapter Tractable large-scale optimization in machine learning Sra, S. In Tractability: Practical Approaches to Hard Problems, :202-230, 7, (Editors: Bordeaux, L., Hamadi , Y., Kohli, P. and Mateescu, R. ), Cambridge University Press , 2013 (Published) BibTeX

Empirical Inference Article When luminance increment thresholds depend on apparent lightness Maertens, M., Wichmann, F. Journal of Vision, 13(6):1-11, 2013 () DOI BibTeX

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