Calandra, R., Ivaldi, S., Deisenroth, M., Peters, J.
Learning Torque Control in Presence of Contacts using Tactile Sensing from Robot Skin
In 15th IEEE-RAS International Conference on Humanoid Robots, pages: 690-695, Humanoids, November 2015 (inproceedings)
Hoelscher, J., Peters, J., Hermans, T.
Evaluation of Interactive Object Recognition with Tactile Sensing
In 15th IEEE-RAS International Conference on Humanoid Robots, pages: 310-317, Humanoids, November 2015 (inproceedings)
Koc, O., Maeda, G., Neumann, G., Peters, J.
Optimizing Robot Striking Movement Primitives with Iterative Learning Control
In 15th IEEE-RAS International Conference on Humanoid Robots, pages: 80-87, Humanoids, November 2015 (inproceedings)
Leischnig, S., Luettgen, S., Kroemer, O., Peters, J.
A Comparison of Contact Distribution Representations for Learning to Predict Object Interactions
In 15th IEEE-RAS International Conference on Humanoid Robots, pages: 616-622, Humanoids, November 2015 (inproceedings)
Fritsche, L., Unverzagt, F., Peters, J., Calandra, R.
First-Person Tele-Operation of a Humanoid Robot
In 15th IEEE-RAS International Conference on Humanoid Robots, pages: 997-1002, Humanoids, November 2015 (inproceedings)
Lioutikov, R., Neumann, G., Maeda, G., Peters, J.
Probabilistic Segmentation Applied to an Assembly Task
In 15th IEEE-RAS International Conference on Humanoid Robots, pages: 533-540, Humanoids, November 2015 (inproceedings)
Marco, A., Hennig, P., Bohg, J., Schaal, S., Trimpe, S.
Automatic LQR Tuning Based on Gaussian Process Optimization: Early Experimental Results
Machine Learning in Planning and Control of Robot Motion Workshop at the IEEE/RSJ International Conference on Intelligent Robots and Systems (iROS), pages: , , Machine Learning in Planning and Control of Robot Motion Workshop, October 2015 (conference)
Tolstikhin, I., Zhivotovskiy, N., Blanchard, G.
Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning
In Proceedings of the 26th International Conference on Algorithmic Learning Theory, 9355, pages: 209-223, Lecture Notes in Computer Science, (Editors: K. Chaudhuri, C. Gentile and S. Zilles), Springer, ALT, October 2015 (inproceedings)
Veiga, F., van Hoof, H., Peters, J., Hermans, T.
Stabilizing Novel Objects by Learning to Predict Tactile Slip
In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, pages: 5065-5072, IROS, September 2015 (inproceedings)
Paraschos, A., Rueckert, E., Peters, J., Neumann, G.
Model-Free Probabilistic Movement Primitives for Physical Interaction
In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, pages: 2860-2866, IROS, September 2015 (inproceedings)
Wahrburg, A., Zeiss, S., Matthias, B., Peters, J., Ding, H.
Combined Pose-Wrench and State Machine Representation for Modeling Robotic Assembly Skills
In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, pages: 852-857, IROS, September 2015 (inproceedings)
Manschitz, S., Kober, J., Gienger, M., Peters, J.
Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives
In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, pages: 449-455, IROS, September 2015 (inproceedings)
Parisi, S., Abdulsamad, H., Paraschos, A., Daniel, C., Peters, J.
Reinforcement Learning vs Human Programming in Tetherball Robot Games
In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, pages: 6428-6434, IROS, September 2015 (inproceedings)
Ewerton, M., Maeda, G., Peters, J., Neumann, G.
Learning Motor Skills from Partially Observed Movements Executed at Different Speeds
In Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems, pages: 456-463, IROS, September 2015 (inproceedings)
Ibarra Chaoul, A., Grosse-Wentrup, M.
Is Breathing Rate a Confounding Variable in Brain-Computer Interfaces (BCIs) Based on EEG Spectral Power?
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages: 1079-1082, EMBC, August 2015 (conference)
Loktyushin, A., Schuler, C., Scheffler, K., Schölkopf, B.
Retrospective motion correction of magnitude-input MR images
First International Workshop on Machine Learning Meets Medical Imaging (MLMMI 2015), held in conjunction with ICML 2015, 9487, pages: 3-12, Lecture Notes in Computer Science, (Editors: K. K. Bhatia and H. Lombaert), Springer, July 2015 (conference)
Kiefel, M., Jampani, V., Gehler, P. V.
Permutohedral Lattice CNNs
In ICLR Workshop Track, ICLR, May 2015 (inproceedings)
Grau-Moya, J, Braun, DA
Adaptive information-theoretic bounded rational decision-making with parametric priors
pages: 1-4, NIPS Workshop on Bounded Optimality and Rational Metareasoning, December 2015 (conference)
Sgouritsa, E., Janzing, D., Hennig, P., Schölkopf, B.
Inference of Cause and Effect with Unsupervised Inverse Regression
In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics, 38, pages: 847-855, JMLR Workshop and Conference Proceedings, (Editors: Lebanon, G. and Vishwanathan, S.V.N.), JMLR.org, AISTATS, 2015 (inproceedings)
Zhang, K., Zhang, J., Schölkopf, B.
Distinguishing Cause from Effect Based on Exogeneity
In Fifteenth Conference on Theoretical Aspects of Rationality and Knowledge, pages: 261-271, (Editors: Ramanujam, R.), TARK, 2015 (inproceedings)
Huang, B., Zhang, K., Schölkopf, B.
Identification of Time-Dependent Causal Model: A Gaussian Process Treatment
In 24th International Joint Conference on Artificial Intelligence, Machine Learning Track, pages: 3561-3568, (Editors: Yang, Q. and Wooldridge, M.), AAAI Press, Palo Alto, California USA, IJCAI15, 2015 (inproceedings)
Zhang, K., Gong, M., Schölkopf, B.
Multi-Source Domain Adaptation: A Causal View
In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pages: 3150-3157, AAAI Press, AAAI, 2015 (inproceedings)
van Hoof, H., Peters, J., Neumann, G.
Learning of Non-Parametric Control Policies with High-Dimensional State Features
In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics, 38, pages: 995–1003, (Editors: Lebanon, G. and Vishwanathan, S.V.N. ), JMLR, AISTATS, 2015 (inproceedings)
Lopez-Paz, D., Muandet, K., Schölkopf, B., Tolstikhin, I.
Towards a Learning Theory of Cause-Effect Inference
In Proceedings of the 32nd International Conference on Machine Learning, 37, pages: 1452–1461, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (inproceedings)
Khatami, M., Schmidt-Wilcke, T., Sundgren, P., Abbasloo, A., Schölkopf, B., Schultz, T.
BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease
In 6th International Workshop on Machine Learning in Medical Imaging, 9352, pages: 52-60, Lecture Notes in Computer Science, (Editors: L. Zhou, L. Wang, Q. Wang and Y. Shi), Springer, MLMI, 2015 (inproceedings)
Kpotufe, S., Urner, R., Ben-David, S.
Hierarchical Label Queries with Data-Dependent Partitions
In Proceedings of the 28th Conference on Learning Theory, 40, pages: 1176-1189, (Editors: Grünwald, P. and Hazan, E. and Kale, S. ), JMLR, COLT, 2015 (inproceedings)
Lopes, M., Peters, J., Piater, J., Toussaint, M., Baisero, A., Busch, B., Erkent, O., Kroemer, O., Lioutikov, R., Maeda, G., Mollard, Y., Munzer, T., Shukla, D.
Semi-Autonomous 3rd-Hand Robot
In Workshop on Cognitive Robotics in Future Manufacturing Scenarios, European Robotics Forum, 2015 (inproceedings)
Gu, S., Ghahramani, Z., Turner, R. E.
Neural Adaptive Sequential Monte Carlo
Advances in Neural Information Processing Systems 28, pages: 2629-2637, (Editors: Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, and Roman Garnett), 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015 (conference)
Gong, M., Zhang, K., Schölkopf, B., Tao, D., Geiger, P.
Discovering Temporal Causal Relations from Subsampled Data
In Proceedings of the 32nd International Conference on Machine Learning, 37, pages: 1898–1906, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (inproceedings)
Berlind, C., Urner, R.
Active Nearest Neighbors in Changing Environments
In Proceedings of the 32nd International Conference on Machine Learning, 37, pages: 1870-1879, JMLR Workshop and Conference Proceedings, (Editors: Bach, F. and Blei, D. ), JMLR, ICML, 2015 (inproceedings)
Calandra, R., Ivaldi, S., Deisenroth, M., Rückert, E., Peters, J.
Learning Inverse Dynamics Models with Contacts
In IEEE International Conference on Robotics and Automation, pages: 3186-3191, ICRA, 2015 (inproceedings)
Maeda, G., Neumann, G., Ewerton, M., Lioutikov, R., Peters, J.
A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation
In Proceedings of the International Symposium of Robotics Research, ISRR, 2015 (inproceedings)
Sajjadi, M. S. M., Alamgir, M., von Luxburg, U.
Peer grading in a course on algorithms and data structures
Workshop on Machine Learning for Education (ML4Ed) at the 32th International Conference on Machine Learning (ICML), 2015 (conference)
Schölkopf, B., Hogg, D., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. J., Peters, J.
Removing systematic errors for exoplanet search via latent causes
In Proceedings of The 32nd International Conference on Machine Learning, 37, pages: 2218–2226, JMLR Workshop and Conference Proceedings, (Editors: Bach, F. and Blei, D.), JMLR, ICML, 2015 (inproceedings)
Geiger, P., Zhang, K., Schölkopf, B., Gong, M., Janzing, D.
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
In Proceedings of the 32nd International Conference on Machine Learning, 37, pages: 1917–1925, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (inproceedings)
Jayaram, V., Widmann, N., Förster, C., Fomina, T., Hohmann, M. R., Müller vom Hagen, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.
Brain-Computer Interfacing in Amyotrophic Lateral Sclerosis: Implications of a Resting-State EEG Analysis
In Proceedings of the 37th IEEE Conference for Engineering in Medicine and Biology, pages: 6979-6982, EMBC, 2015 (inproceedings)
Fomina, T., Hohmann, M. R., Schölkopf, B., Grosse-Wentrup, M.
Identification of the Default Mode Network with Electroencephalography
In Proceedings of the 37th IEEE Conference for Engineering in Medicine and Biology, pages: 7566-7569, EMBC, 2015 (inproceedings)
Fomina, T., Schölkopf, B., Grosse-Wentrup, M.
Towards Cognitive Brain-Computer Interfaces for Patients with Amyotrophic Lateral Sclerosis
In 7th Computer Science and Electronic Engineering Conference, pages: 77-80, Curran Associates, Inc., CEEC, 2015 (inproceedings)
Kroemer, O., Daniel, C., Neumann, G., van Hoof, H., Peters, J.
Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks
In IEEE International Conference on Robotics and Automation, pages: 1503 - 1510, ICRA, 2015 (inproceedings)
Mahsereci, M., Hennig, P.
Probabilistic Line Searches for Stochastic Optimization
In Advances in Neural Information Processing Systems 28, pages: 181-189, (Editors: C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett), Curran Associates, Inc., 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015 (inproceedings)
Abbott, T., Abdalla, F. B., Allam, S., Amara, A., Annis, J., Armstrong, R., Bacon, D., Banerji, M., Bauer, A. H., Baxter, E., others,
Cosmology from Cosmic Shear with DES Science Verification Data
arXiv preprint arXiv:1507.05552, 2015 (techreport)
Rothenhäusler, D., Heinze, C., Peters, J., Meinshausen, N.
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Advances in Neural Information Processing Systems 28, pages: 1513-1521, (Editors: C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett), Curran Associates, Inc., 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015 (conference)
Tripuraneni*, N., Gu*, S., Ge, H., Ghahramani, Z.
Particle Gibbs for Infinite Hidden Markov Models
Advances in Neural Information Processing Systems 28, pages: 2395-2403, (Editors: Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, and Roman Garnett), 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015, *equal contribution (conference)
Sajjadi, M. S. M., Alamgir, M., von Luxburg, U.
Peer grading in a course on algorithms and data structures
Workshop on Crowdsourcing and Machine Learning (CrowdML) Workshop on Machine Learning for Education (ML4Ed) at at the 32th International Conference on Machine Learning (ICML), 2015 (conference)
Hauberg, S., Schober, M., Liptrot, M., Hennig, P., Feragen, A.
A Random Riemannian Metric for Probabilistic Shortest-Path Tractography
In 18th International Conference on Medical Image Computing and Computer Assisted Intervention, 9349, pages: 597-604, Lecture Notes in Computer Science, MICCAI, 2015 (inproceedings)
Spirtes, P., Zhang, K.
Recent Methodological Advances in Causal Discovery and Inference
In 15th Conference on Theoretical Aspects of Rationality and Knowledge, pages: 23-35, (Editors: Ramanujam, R.), TARK, 2015 (inproceedings)
Huang, Y., Schölkopf, B., Peters, J.
Learning Optimal Striking Points for A Ping-Pong Playing Robot
In IEEE/RSJ International Conference on Intelligent Robots and Systems, pages: 4587-4592, IROS, 2015 (inproceedings)
Abdolmaleki, A., Peters, J., Neumann, G.
Model-Based Relative Entropy Stochastic Search
In Advances in Neural Information Processing Systems 28, pages: 3523-3531, (Editors: C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett), Curran Associates, Inc., 29th Annual Conference on Neural Information Processing Systems (NIPS), 2015 (inproceedings)
Ewerton, M., Neumann, G., Lioutikov, R., Ben Amor, H., Peters, J., Maeda, G.
Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives
In Workshop on Machine Learning for Social Robotics, ICRA, 2015 (inproceedings)
Rueckert, E., Mundo, J., Paraschos, A., Peters, J., Neumann, G.
Extracting Low-Dimensional Control Variables for Movement Primitives
In IEEE International Conference on Robotics and Automation, pages: 1511-1518, ICRA, 2015 (inproceedings)
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