ei Foreman-Mackey, D., Hogg, D., Schölkopf, B., Wang, D. Increasing the sensitivity of Kepler to Earth-like exoplanets Workshop: 225th American Astronomical Society Meeting 2015 , pages: 105.01D, 2015 (poster)

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ei Peters, J. On the Intersection Property of Conditional Independence and its Application to Causal Discovery Journal of Causal Inference, 3(1):97-108, 2015 (article)

DOI [BibTex]

ei Chaves, R., Majenz, C., Luft, L., Maciel, T., Janzing, D., Schölkopf, B., Gross, D. Information-Theoretic Implications of Classical and Quantum Causal Structures 18th Conference on Quantum Information Processing (QIP), 2015 (talk)

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ei Küffner, R., Zach, N., Norel, R., Hawe, J., Schoenfeld, D., Wang, L., Li, G., Fang, L., Mackey, L., Hardiman, O., Cudkowicz, M., Sherman, A., Ertaylan, G., Grosse-Wentrup, M., Hothorn, T., van Ligtenberg, J., Macke, J., Meyer, T., Schölkopf, B., Tran, L., Vaughan, R., Stolovitzky, G., Leitner, M. Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression Nature Biotechnology, 33, pages: 51-57, 2015 (article)

DOI [BibTex]

ei pn 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)

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ei 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)

[BibTex]

ei pn Hennig, P. Probabilistic Interpretation of Linear Solvers SIAM Journal on Optimization, 25(1):234-260, 2015 (article)

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ei Mariti, C., Muscolo, G., Peters, J., Puig, D., Recchiuto, C., Sighieri, C., Solanas, A., von Stryk, O. Developing biorobotics for veterinary research into cat movements Journal of Veterinary Behavior: Clinical Applications and Research, 10(3):248-254, 2015 (article)

DOI [BibTex]

ei 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)

link (url) [BibTex]

ei Engbert, R., Trukenbrod, H., Barthelmé, S., Wichmann, F. Spatial statistics and attentional dynamics in scene viewing Journal of Vision, 15(1):1-17, 2015 (article)

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ei Lopez-Paz, D., Muandet, K., Recht, B. The Randomized Causation Coefficient Journal of Machine Learning, 16, pages: 2901-2907, 2015 (article)

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ei Kopp, M., Harmeling, S., Schütz, G., Schölkopf, B., Fähnle, M. Towards denoising XMCD movies of fast magnetization dynamics using extended Kalman filter Ultramicroscopy, 148, pages: 115-122, 2015 (article)

Web DOI [BibTex]

ei 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)

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ei Weichwald, S., Meyer, T., Özdenizci, O., Schölkopf, B., Ball, T., Grosse-Wentrup, M. Causal interpretation rules for encoding and decoding models in neuroimaging NeuroImage, 110, pages: 48–59, 2015 (article)

PDF Video Video-2 Arxiv DOI [BibTex]

am ei 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)

link (url) [BibTex]

ei Schölkopf, B., Muandet, K., Fukumizu, K., Harmeling, S., Peters, J. Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations Statistics and Computing , 25(4):755-766, 2015 (article)

DOI [BibTex]

ei Schölkopf, B. Artificial intelligence: Learning to see and act Nature, News & Views, 518(7540):486-487, 2015 (article)

DOI [BibTex]

ei Maertens, M., Wichmann, F., Shapley, R. Context affects lightness at the level of surfaces Journal of Vision, 15(1):1-15, 2015 (article)

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ei 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)

Web [BibTex]

ei Wang, D., Foreman-Mackey, D., Hogg, D., Schölkopf, B. Calibrating the pixel-level Kepler imaging data with a causal data-driven model Workshop: 225th American Astronomical Society Meeting 2015 , pages: 258.08, 2015 (poster)

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ei Wang, C., Liu, C., Roqueiro, D., Grimm, D., Schwab, R., Becker, C., Lanz, C., Weigel, D. Genome-wide analysis of local chromatin packing in Arabidopsis thaliana Genome Research, 25(2):246-256, 2015 (article)

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ei 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)

DOI [BibTex]

ei 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)

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am ei 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)

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ei Hohmann, M. A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 (mastersthesis)

[BibTex]

ei Brendle, C., Schmidt, H., Oergel, A., Bezrukov, I., Mueller, M., Schraml, C., Pfannenberg, C., la Fougère, C., Nikolaou, K., Schwenzer, N. Segmentation-based attenuation correction in positron emission tomography/magnetic resonance: erroneous tissue identification and its impact on positron emission tomography interpretation Investigative Radiology, 50(5):339-346, 2015 (article)

DOI [BibTex]

ei 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)

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ei 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)

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ei 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)

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am ei Daniel, C., Kroemer, O., Viering, M., Metz, J., Peters, J. Active Reward Learning with a Novel Acquisition Function Autonomous Robots, 39(3):389-405, 2015 (article)

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am ei 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)

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am ei 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)

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ei 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)

Arxiv [BibTex]

ei 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)

Extended version on arXiv link (url) [BibTex]

ei Foreman-Mackey, D., Montet, B., Hogg, D., Morton, T., Wang, D., Schölkopf, B. A systematic search for transiting planets in the K2 data The Astrophysical Journal, 806(2), 2015 (article)

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ei 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)

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ei 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)

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ei 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)

DOI [BibTex]

ei 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)

DOI [BibTex]

am ei Manschitz, S., Kober, J., Gienger, M., Peters, J. Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations Robotics and Autonomous Systems, 74, Part A, pages: 97-107, 2015 (article)

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am ei Calandra, R., Seyfarth, A., Peters, J., Deisenroth, M. Bayesian Optimization for Learning Gaits under Uncertainty Annals of Mathematics and Artificial Intelligence, pages: 1-19, 2015 (article)

DOI [BibTex]

am ei 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)

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ei pn 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)

Matlab research code link (url) [BibTex]

ei Wehrl, H. F., Bezrukov, I., Wiehr, S., Lehnhoff, M., Fuchs, K., Mannheim, J. G., Quintanilla-Martinez, L., Kneilling, M., Pichler, B. J., Sauter, A. W. Assessment of murine brain tissue shrinkage caused by different histological fixatives using magnetic resonance and computed tomography imaging Histology and Histopathology, 30(5):601-613, 2015 (article)

[BibTex]

ei 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)

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ei 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)

link (url) [BibTex]

ei 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)

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ei Mehrjou, A., Hosseini, R., Araabi, B. Improved Bayesian Information Criterion for Mixture Model Selection Pattern Recognition Letters, 69, pages: 22-27, 2015 (article)

DOI [BibTex]

ei 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)

Arxiv [BibTex]

ei pn 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)

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