Publications

Empirical Inference Conference Paper Active Nearest-Neighbor Learning in Metric Spaces Kontorovich, A., Sabato, S., Urner, R. Advances in Neural Information Processing Systems 29 (NIPS 2016), :856-864, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Catching heuristics are optimal control policies Belousov, B., Neumann, G., Rothkopf, C., Peters, J. Advances in Neural Information Processing Systems 29 (NIPS 2016), :1426-1434, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Consistent Kernel Mean Estimation for Functions of Random Variables Simon-Gabriel*, C. J., Ścibior*, A., Tolstikhin, I., Schölkopf, B. Advances in Neural Information Processing Systems 29 (NIPS 2016), :1732-1740, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016, *joint first authors (Published) URL BibTeX

Empirical Inference Conference Paper Lifelong Learning with Weighted Majority Votes Pentina, A., Urner, R. Advances in Neural Information Processing Systems 29 (NIPS 2016), :3612-3620, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Local-utopia Policy Selection for Multi-objective Reinforcement Learning Parisi, S., Blank, A., Viernickel, T., Peters, J. In IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), :1-7, IEEE, December 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels Tolstikhin, I., Sriperumbudur, B. K., Schölkopf, B. Advances in Neural Information Processing Systems 29 (NIPS 2016), :1930-1938, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Understanding Probabilistic Sparse Gaussian Process Approximations Bauer, M., van der Wilk, M., Rasmussen, C. E. Advances in Neural Information Processing Systems 29 (NIPS 2016), :1533-1541, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Anticipative Interaction Primitives for Human-Robot Collaboration Maeda, G., Maloo, A., Ewerton, M., Lioutikov, R., Peters, J. AAAI Fall Symposium Series. Shared Autonomy in Research and Practice, :325-330, November 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Deep Spiking Networks for Model-based Planning in Humanoids Tanneberg, D., Paraschos, A., Peters, J., Rueckert, E. IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), :656-661, IEEE, November 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Demonstration Based Trajectory Optimization for Generalizable Robot Motions Koert, D., Maeda, G., Lioutikov, R., Neumann, G., Peters, J. IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), :515-522, IEEE, November 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Incremental Imitation Learning of Context-Dependent Motor Skills Ewerton, M., Maeda, G., Kollegger, G., Wiemeyer, J., Peters, J. IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), :351-358, IEEE, November 2016 (Published) DOI BibTeX

Empirical Inference Autonomous Motion Conference Paper Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis Huang, Y., Büchler, D., Koc, O., Schölkopf, B., Peters, J. 16th IEEE-RAS International Conference on Humanoid Robots (Humanoids), :650-655, November 2016 (Published) final DOI URL BibTeX

Empirical Inference Conference Paper Unifying distillation and privileged information Lopez-Paz, D., Schölkopf, B., Bottou, L., Vapnik, V. International Conference on Learning Representations (ICLR), November 2016 (Published) Arxiv BibTeX

Empirical Inference Autonomous Motion Conference Paper Using Probabilistic Movement Primitives for Striking Movements Gomez-Gonzalez, S., Neumann, G., Schölkopf, B., Peters, J. 16th IEEE-RAS International Conference on Humanoid Robots (Humanoids), :502-508, November 2016 (Published) DOI URL BibTeX

Empirical Inference Autonomous Motion Conference Paper A New Trajectory Generation Framework in Robotic Table Tennis Koc, O., Maeda, G., Peters, J. Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), :3750-3756, October 2016 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Active Tactile Object Exploration with Gaussian Processes Yi, Z., Calandra, R., Veiga, F., van Hoof, H., Hermans, T., Zhang, Y., Peters, J. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), :4925-4930, IEEE, October 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Adaptive Training Strategies for BCIs Sharma, D., Tanneberg, D., Grosse-Wentrup, M., Peters, J., Rueckert, E. Cybathlon Symposium, October 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies Osa, T., Peters, J., Neumann, G. International Symposium on Experimental Robotics (ISER), 1:160-172, Springer Proceedings in Advanced Robotics, (Editors: Dana Kulic, Yoshihiko Nakamura, Oussama Khatib and Gentiane Venture), Springer, October 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Learning High-Order Filters for Efficient Blind Deconvolution of Document Photographs Xiao, L., Wang, J., Heidrich, W., Hirsch, M. Computer Vision - ECCV 2016, Lecture Notes in Computer Science, LNCS 9907, Part III:734-749, (Editors: Bastian Leibe, Jiri Matas, Nicu Sebe and Max Welling), Springer, October 2016 () DOI BibTeX

Empirical Inference Conference Paper Multi-task logistic regression in brain-computer interfaces Fiebig, K., Jayaram, V., Peters, J., Grosse-Wentrup, M. 6th Workshop on Brain-Machine Interface Systems at IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), :002307-002312, IEEE, October 2016 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Probabilistic Decomposition of Sequential Force Interaction Tasks into Movement Primitives Manschitz, S., Gienger, M., Kober, J., Peters, J. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), :3920-3927, IEEE, October 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Stable Reinforcement Learning with Autoencoders for Tactile and Visual Data van Hoof, H., Chen, N., Karl, M., van der Smagt, P., Peters, J. Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), :3928-3934, IEEE, October 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Bidirektionale Interaktion zwischen Mensch und Roboter beim Bewegungslernen (BIMROB) Kollegger, G., Ewerton, M., Peters, J., Wiemeyer, J. 11. Symposium der DVS Sportinformatik, September 2016 (Published) URL BibTeX

Empirical Inference Article Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller Abdolmaleki, A., Lau, N., Reis, L., Peters, J., Neumann, G. Journal of Intelligent & Robotic Systems, 83(3-4):393-408, (Editors: Luis Almeida, Lino Marques ), September 2016, Special Issue: Autonomous Robot Systems (Published) DOI BibTeX

Empirical Inference Conference Paper Depth Estimation Through a Generative Model of Light Field Synthesis Sajjadi, M. S. M., Köhler, R., Schölkopf, B., Hirsch, M. Pattern Recognition - 38th German Conference (GCPR), 9796:426-438, Lecture Notes in Computer Science, (Editors: Rosenhahn, B. and Andres, B.), Springer International Publishing, September 2016 () Arxiv Project DOI URL BibTeX

Empirical Inference Conference Paper Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities Kohlschuetter, J., Peters, J., Rueckert, E. XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), :668-672, (Editors: Kyriacou, E., Christofides, S., and Pattichis, C. S.), September 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper On Version Space Compression Ben-David, S., Urner, R. Algorithmic Learning Theory - 27th International Conference (ALT), 9925:50-64, Lecture Notes in Computer Science, (Editors: Ortner, R., Simon, H. U., and Zilles, S.), September 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction Weber, P., Rueckert, E., Calandra, R., Peters, J., Beckerle, P. 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), :99-104, August 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Experimental and causal view on information integration in autonomous agents Geiger, P., Hofmann, K., Schölkopf, B. Proceedings of the 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA), :21-28, (Editors: Hatzilygeroudis, I. and Palade, V.), August 2016 (Published) URL BibTeX

Empirical Inference Article Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills Maeda, G., Ewerton, M., Koert, D., Peters, J. IEEE Robotics and Automation Letters, 1(2):784-791, July 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Manifold Gaussian Processes for Regression Calandra, R., Peters, J., Rasmussen, C. E., Deisenroth, M. P. International Joint Conference on Neural Networks (IJCNN), :3338-3345, IEEE, July 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper A Kernel Test for Three-Variable Interactions with Random Processes Rubenstein, P. K., Chwialkowski, K. P., Gretton, A. Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI), :637-646, (Editors: Ihler, Alexander T. and Janzing, Dominik), June 2016 (Published) PDF Supplement Arxiv URL BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Approximate dual control maintaining the value of information with an application to building control Klenske, E. D., Hennig, P., Schölkopf, B., Zeilinger, M. N. In European Control Conference (ECC), :800-806, June 2016 () PDF DOI BibTeX

Empirical Inference Conference Paper Continuous Deep Q-Learning with Model-based Acceleration Gu, S., Lillicrap, T., Sutskever, I., Levine, S. Proceedings of the 33nd International Conference on Machine Learning (ICML), 48:2829-2838, JMLR Workshop and Conference Proceedings, (Editors: Maria-Florina Balcan and Kilian Q. Weinberger), JMLR.org, June 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Domain Adaptation with Conditional Transferable Components Gong, M., Zhang, K., Liu, T., Tao, D., Glymour, C., Schölkopf, B. Proceedings of the 33nd International Conference on Machine Learning (ICML), 48:2839-2848, JMLR Workshop and Conference Proceedings, (Editors: Balcan, M.-F. and Weinberger, K. Q.), June 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Efficient Large-scale Approximate Nearest Neighbor Search on the GPU Wieschollek, P., Wang, O., Sorkine-Hornung, A., Lensch, H. P. A. 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), :2027 - 2035, IEEE, June 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection Zhang, K., Zhang, J., Huang, B., Schölkopf, B., Glymour, C. Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI), :825-834, (Editors: Ihler, Alexander T. and Janzing, Dominik), June 2016 (Published) URL BibTeX

Empirical Inference Proceedings Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI) Ihler, A. T., Janzing, D. :869 pages, AUAI Press, June 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data Weichwald, S., Gretton, A., Schölkopf, B., Grosse-Wentrup, M. Proceedings of the 6th International Workshop on Pattern Recognition in NeuroImaging (PRNI 2016), June 2016 (Published) PDF Arxiv Code DOI BibTeX

Empirical Inference Conference Paper The Arrow of Time in Multivariate Time Serie Bauer, S., Schölkopf, B., Peters, J. Proceedings of the 33rd International Conference on Machine Learning (ICML), 48:2043-2051, JMLR Workshop and Conference Proceedings, (Editors: Balcan, M. F. and Weinberger, K. Q.), JMLR, June 2016 (Published) URL BibTeX

Empirical Inference Conference Paper The Mondrian Kernel Balog, M., Lakshminarayanan, B., Ghahramani, Z., Roy, D. M., Teh, Y. W. Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI), :32-41, (Editors: Ihler, Alexander T. and Janzing, Dominik), June 2016 (Published) Arxiv URL BibTeX

Autonomous Motion Empirical Inference Conference Paper A Lightweight Robotic Arm with Pneumatic Muscles for Robot Learning Büchler, D., Ott, H., Peters, J. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), :4086-4092, IEEE, IEEE International Conference on Robotics and Automation, May 2016 (Published) ICRA16final DOI BibTeX

Empirical Inference Conference Paper A Transfer Learning Approach for Adaptive Classification in P300 Paradigms Jayaram, V., Grosse-Wentrup, M. Sixth International BCI Meeting (BCI), May 2016 (Published) PDF DOI BibTeX

Empirical Inference Conference Paper An Improved Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis Hohmann, M. R., Fomina, T., Jayaram, V., Förster, C., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M. Proceedings of the Sixth International BCI Meeting, :44, (Editors: Müller-Putz, G. R. and Huggins, J. E. and Steyrl, D.), BCI, May 2016 (Published) DOI BibTeX

Empirical Inference Poster Autofocusing-based correction of B0 fluctuation-induced ghosting Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. 24th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2016), May 2016 (Published) URL BibTeX

Empirical Inference Conference Paper Learning soft task priorities for control of redundant robots Modugno, V., Neumann, G., Rueckert, E., Oriolo, G., Peters, J., Ivaldi, S. IEEE International Conference on Robotics and Automation (ICRA), :221-226, IEEE, May 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper Movement Primitives with Multiple Phase Parameters Ewerton, M., Maeda, G., Neumann, G., Kisner, V., Kollegger, G., Wiemeyer, J., Peters, J. IEEE International Conference on Robotics and Automation (ICRA), :201-206, IEEE, May 2016 (Published) DOI BibTeX

Empirical Inference Conference Paper MuProp: Unbiased Backpropagation for Stochastic Neural Networks Gu, S., Levine, S., Sutskever, I., Mnih, A. 4th International Conference on Learning Representations (ICLR), May 2016 () Arxiv BibTeX

Empirical Inference Probabilistic Learning Group Conference Paper On the Reliability of Information and Trustworthiness of Web Sources in Wikipedia Tabibian, B., Farajtabar, M., Valera, I., Song, L., Schölkopf, B., Gomez Rodriguez, M. Wikipedia workshop at the 10th International AAAI Conference on Web and Social Media (ICWSM), May 2016 (Published) URL BibTeX

Empirical Inference Conference Paper TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification Babbar, R., Muandet, K., Schölkopf, B. Proceedings of the 2016 SIAM International Conference on Data Mining (SDM), :234-242, (Editors: Sanjay Chawla Venkatasubramanian and Wagner Meira), May 2016 (Published) DOI BibTeX

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