Publications

Empirical Inference Article Assessment of murine brain tissue shrinkage caused by different histological fixatives using magnetic resonance and computed tomography imaging 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. Histology and Histopathology, 30(5):601-613, 2015 (Published) BibTeX

Empirical Inference Conference Paper BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions Rothenhäusler, D., Heinze, C., Peters, J., Meinshausen, N. Advances in Neural Information Processing Systems 28, :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), 2015 () URL BibTeX

Empirical Inference Autonomous Motion Article Bayesian Optimization for Learning Gaits under Uncertainty Calandra, R., Seyfarth, A., Peters, J., Deisenroth, M. Annals of Mathematics and Artificial Intelligence, :1-19, 2015 () DOI BibTeX

Empirical Inference Article Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle Genewein, T., Leibfried, F., Grau-Moya, J., Braun, D. Frontiers in Robotics and AI, 2(27):1-24, October 2015 () DOI BibTeX

Empirical Inference Conference Paper Brain-Computer Interfacing in Amyotrophic Lateral Sclerosis: Implications of a Resting-State EEG Analysis Jayaram, V., Widmann, N., Förster, C., Fomina, T., Hohmann, M. R., Müller vom Hagen, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M. In Proceedings of the 37th IEEE Conference for Engineering in Medicine and Biology, :6979-6982, EMBC, 2015 (Published) PDF DOI BibTeX

Empirical Inference Conference Paper BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease Khatami, M., Schmidt-Wilcke, T., Sundgren, P., Abbasloo, A., Schölkopf, B., Schultz, T. In 6th International Workshop on Machine Learning in Medical Imaging, 9352:52-60, Lecture Notes in Computer Science, (Editors: L. Zhou, L. Wang, Q. Wang and Y. Shi), Springer, MLMI, 2015 (Published) DOI BibTeX

Empirical Inference Poster Calibrating the pixel-level Kepler imaging data with a causal data-driven model Wang, D., Foreman-Mackey, D., Hogg, D., Schölkopf, B. Workshop: 225th American Astronomical Society Meeting 2015 , :258.08, 2015 (Published) Web URL BibTeX

Empirical Inference Conference Paper Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components Geiger, P., Zhang, K., Schölkopf, B., Gong, M., Janzing, D. In Proceedings of the 32nd International Conference on Machine Learning, 37:1917–1925, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (Published) PDF URL BibTeX

Empirical Inference Master Thesis Causal Inference in Neuroimaging Casarsa de Azevedo, L. Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2015 () BibTeX

Empirical Inference Article Causal interpretation rules for encoding and decoding models in neuroimaging Weichwald, S., Meyer, T., Özdenizci, O., Schölkopf, B., Ball, T., Grosse-Wentrup, M. NeuroImage, 110:48–59, 2015 () PDF Video Video-2 Arxiv DOI BibTeX

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

Empirical Inference Article Context affects lightness at the level of surfaces Maertens, M., Wichmann, F., Shapley, R. Journal of Vision, 15(1):1-15, 2015 (Published) Web PDF DOI URL BibTeX

Empirical Inference Article Correlation matrix nearness and completion under observation uncertainty Alaíz, C. M., Dinuzzo, F., Sra, S. IMA Journal of Numerical Analysis, 35(1):325-340, 2015 (Published) DOI BibTeX

Empirical Inference Technical Report Cosmology from Cosmic Shear with DES Science Verification Data Abbott, T., Abdalla, F. B., Allam, S., Amara, A., Annis, J., Armstrong, R., Bacon, D., Banerji, M., Bauer, A. H., Baxter, E., et al. arXiv preprint arXiv:1507.05552, 2015 (Published) URL BibTeX

Empirical Inference Article Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression Küffner, R., Zach, N., Norel, R., Hawe, J., Schoenfeld, D., Wang, L., Li, G., Fang, L., Mackey, L., Hardiman, O., et al. Nature Biotechnology, 33:51-57, 2015 () DOI BibTeX

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

Empirical Inference Conference Paper Developing neural networks with neurons competing for survival Peng, Z., Braun, D. :152-153, IEEE, Piscataway, NJ, USA, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB 2015), August 2015 () DOI BibTeX

Empirical Inference Conference Paper Discovering Temporal Causal Relations from Subsampled Data Gong, M., Zhang, K., Schölkopf, B., Tao, D., Geiger, P. In Proceedings of the 32nd International Conference on Machine Learning, 37:1898–1906, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (Published) PDF URL BibTeX

Empirical Inference Poster Disparity estimation from a generative light field model Köhler, R., Schölkopf, B., Hirsch, M. IEEE International Conference on Computer Vision (ICCV 2015), Workshop on Inverse Rendering, 2015, Note: This work has been presented as a poster and is not included in the workshop proceedings. () BibTeX

Empirical Inference Conference Paper Distinguishing Cause from Effect Based on Exogeneity Zhang, K., Zhang, J., Schölkopf, B. In Fifteenth Conference on Theoretical Aspects of Rationality and Knowledge, :261-271, (Editors: Ramanujam, R.), TARK, 2015 (Published) BibTeX

Empirical Inference Conference Paper Efficient Learning of Linear Separators under Bounded Noise Awasthi, P., Balcan, M., Haghtalab, N., Urner, R. In Proceedings of the 28th Conference on Learning Theory, 40:167-190, (Editors: Grünwald, P. and Hazan, E. and Kale, S.), JMLR, COLT, 2015 (Published) URL BibTeX

Empirical Inference Article Entropic Movement Complexity Reflects Subjective Creativity Rankings of Visualized Hand Motion Trajectories Peng, Z., Braun, D. Frontiers in Psychology, 6(1879):1-13, December 2015 () DOI BibTeX

Empirical Inference Autonomous Motion Conference Paper Extracting Low-Dimensional Control Variables for Movement Primitives Rueckert, E., Mundo, J., Paraschos, A., Peters, J., Neumann, G. In IEEE International Conference on Robotics and Automation, :1511-1518, ICRA, 2015 (Published) DOI URL BibTeX

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

Empirical Inference Conference Paper Hierarchical Label Queries with Data-Dependent Partitions Kpotufe, S., Urner, R., Ben-David, S. In Proceedings of the 28th Conference on Learning Theory, 40:1176-1189, (Editors: Grünwald, P. and Hazan, E. and Kale, S. ), JMLR, COLT, 2015 (Published) URL BibTeX

Empirical Inference Conference Paper Identification of Time-Dependent Causal Model: A Gaussian Process Treatment Huang, B., Zhang, K., Schölkopf, B. In 24th International Joint Conference on Artificial Intelligence, Machine Learning Track, :3561-3568, (Editors: Yang, Q. and Wooldridge, M.), AAAI Press, Palo Alto, California USA, IJCAI15, 2015 (Published) URL BibTeX

Empirical Inference Conference Paper Identification of the Default Mode Network with Electroencephalography Fomina, T., Hohmann, M. R., Schölkopf, B., Grosse-Wentrup, M. In Proceedings of the 37th IEEE Conference for Engineering in Medicine and Biology, :7566-7569, EMBC, 2015 (Published) DOI BibTeX

Empirical Inference Article Improved Bayesian Information Criterion for Mixture Model Selection Mehrjou, A., Hosseini, R., Araabi, B. Pattern Recognition Letters, 69:22-27, 2015 (Published) DOI BibTeX

Empirical Inference Poster Increasing the sensitivity of Kepler to Earth-like exoplanets Foreman-Mackey, D., Hogg, D., Schölkopf, B., Wang, D. Workshop: 225th American Astronomical Society Meeting 2015 , :105.01D, 2015 (Published) Web URL BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Inference of Cause and Effect with Unsupervised Inverse Regression Sgouritsa, E., Janzing, D., Hennig, P., Schölkopf, B. In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics, 38:847-855, JMLR Workshop and Conference Proceedings, (Editors: Lebanon, G. and Vishwanathan, S.V.N.), JMLR.org, AISTATS, 2015 (Published) Web PDF BibTeX

Empirical Inference Talk Information-Theoretic Implications of Classical and Quantum Causal Structures Chaves, R., Majenz, C., Luft, L., Maciel, T., Janzing, D., Schölkopf, B., Gross, D. 18th Conference on Quantum Information Processing (QIP 2015), 2015 (Published) Web URL BibTeX

Empirical Inference Book Chapter Justifying Information-Geometric Causal Inference Janzing, D., Steudel, B., Shajarisales, N., Schölkopf, B. In Measures of Complexity: Festschrift for Alexey Chervonenkis, :253-265, 18, (Editors: Vovk, V., Papadopoulos, H. and Gammerman, A.), Springer, 2015 (Published) DOI BibTeX

Empirical Inference Autonomous Motion Conference Paper Learning Inverse Dynamics Models with Contacts Calandra, R., Ivaldi, S., Deisenroth, M., Rückert, E., Peters, J. In IEEE International Conference on Robotics and Automation, :3186-3191, ICRA, 2015 (Published) DOI URL BibTeX

Empirical Inference Autonomous Motion Article Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations Manschitz, S., Kober, J., Gienger, M., Peters, J. Robotics and Autonomous Systems, 74, Part A:97-107, 2015 (Published) DOI URL BibTeX

Empirical Inference Autonomous Motion Conference Paper Learning Optimal Striking Points for A Ping-Pong Playing Robot Huang, Y., Schölkopf, B., Peters, J. In IEEE/RSJ International Conference on Intelligent Robots and Systems, :4587-4592, IROS, 2015 (Published) PDF DOI BibTeX

Empirical Inference Autonomous Motion Conference Paper Learning multiple collaborative tasks with a mixture of Interaction Primitives Ewerton, M., Neumann, G., Lioutikov, R., Ben Amor, H., Peters, J., Maeda, G. In IEEE International Conference on Robotics and Automation, :1535-1542, ICRA, 2015 (Published) DOI URL BibTeX

Empirical Inference Autonomous Motion Conference Paper Learning of Non-Parametric Control Policies with High-Dimensional State Features van Hoof, H., Peters, J., Neumann, G. In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics, 38:995–1003, (Editors: Lebanon, G. and Vishwanathan, S.V.N. ), JMLR, AISTATS, 2015 (Published) URL BibTeX

Empirical Inference Article Likelihood and Consilience: On Forster’s Counterexamples to the Likelihood Theory of Evidence Zhang, J., Zhang, K. Philosophy of Science, Supplementary Volume 2015, 82(5):930-940, 2015 (Published) DOI BibTeX

Empirical Inference Article Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data Melchior, P., Suchyta, E., Huff, E., Hirsch, M., Kacprzak, T., Rykoff, E., Gruen, D., Armstrong, R., Bacon, D., Bechtol, K., et al. Monthly Notices of the Royal Astronomical Society, 449(3):2219-2238, Oxford University Press, 2015 (Published) DOI BibTeX

Empirical Inference Autonomous Motion Conference Paper Model-Based Relative Entropy Stochastic Search Abdolmaleki, A., Peters, J., Neumann, G. In Advances in Neural Information Processing Systems 28, :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), 2015 (Published) URL BibTeX

Empirical Inference Autonomous Motion Conference Paper Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives Ewerton, M., Neumann, G., Lioutikov, R., Ben Amor, H., Peters, J., Maeda, G. In Workshop on Machine Learning for Social Robotics, ICRA, 2015 (Published) URL BibTeX

Empirical Inference Conference Paper Multi-Source Domain Adaptation: A Causal View Zhang, K., Gong, M., Schölkopf, B. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, :3150-3157, AAAI Press, AAAI, 2015 (Published) Web PDF URL BibTeX

Empirical Inference Conference Paper Neural Adaptive Sequential Monte Carlo Gu, S., Ghahramani, Z., Turner, R. E. Advances in Neural Information Processing Systems 28, :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), 2015 (Published) PDF Supplementary BibTeX

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

Empirical Inference Conference Paper Particle Gibbs for Infinite Hidden Markov Models Tripuraneni*, N., Gu*, S., Ge, H., Ghahramani, Z. Advances in Neural Information Processing Systems 28, :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), 2015, *equal contribution (Published) PDF BibTeX

Empirical Inference Conference Paper Peer grading in a course on algorithms and data structures Sajjadi, M. S. M., Alamgir, M., von Luxburg, U. Workshop on Machine Learning for Education (ML4Ed) at the 32th International Conference on Machine Learning (ICML), 2015 (Published) Arxiv BibTeX

Empirical Inference Conference Paper Peer grading in a course on algorithms and data structures Sajjadi, M. S. M., Alamgir, M., von Luxburg, U. 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 (Published) Arxiv BibTeX

Empirical Inference Probabilistic Numerics Article Probabilistic Interpretation of Linear Solvers Hennig, P. SIAM Journal on Optimization, 25(1):234-260, 2015 (Published) Web PDF DOI URL BibTeX

Empirical Inference Probabilistic Numerics Conference Paper Probabilistic Line Searches for Stochastic Optimization Mahsereci, M., Hennig, P. In Advances in Neural Information Processing Systems 28, :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), 2015 (Published) Matlab research code URL BibTeX

Empirical Inference Probabilistic Numerics Article Probabilistic numerics and uncertainty in computations Hennig, P., Osborne, M. A., Girolami, M. Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 471(2179), 2015 (Published) PDF DOI BibTeX

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