ps Black, M.J., Loper, M., Mahmood, N., Pons-Moll, G., Romero, J. Skinned multi-person linear model December 2016, Application PCT/EP2016/064610 (misc)

Google Patents [BibTex]

ei Zhang, K., Li, J., Bareinboim, E., Schölkopf, B., Pearl, J. Special Issue on Causal Discovery and Inference ACM Transactions on Intelligent Systems and Technology (TIST), 7(2), January 2016, (Guest Editors) (misc)

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ei Empirical Inference (2010-2015) Scientific Advisory Board Report, 2016 (misc)

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ei Weichwald, S., Fomina, T., Schölkopf, B., Grosse-Wentrup, M. A note on the expected minimum error probability in equientropic channels 2016 (misc)

PDF Arxiv [BibTex]

ei Mittal, A., Raj, A., Namboodiri, V. P., Tuytelaars, T. Unsupervised Domain Adaptation in the Wild : Dealing with Asymmetric Label Set 2016 (misc)

Arxiv [BibTex]

ps Perceiving Systems (2011-2015) Scientific Advisory Board Report, 2016 (misc)

pdf [BibTex]

ei Veiga, F., Peters, J. Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws? 2016 (misc)

arXiv [BibTex]

al Martius, G., Lampert, C. H. Extrapolation and learning equations 2016, arXiv preprint \url{https://arxiv.org/abs/1610.02995} (misc)

Project Page [BibTex]

ei Besserve, M. Causal Inference for Empirical Time Series Based on the Postulate of Independence of Cause and Mechanism 53rd Annual Allerton Conference on Communication, Control, and Computing, September 2015 (talk)

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ei Besserve, M. Independence of cause and mechanism in brain networks DALI workshop on Networks: Processes and Causality, April 2015 (talk)

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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)

Web link (url) [BibTex]

ei Foreman-Mackey, D., Hogg, D. W., Schölkopf, B. The search for single exoplanet transits in the Kepler light curves IAU General Assembly, 22, pages: 2258352, 2015 (talk)

link (url) [BibTex]

mms Illg, C., Haag, M., Müller, B. Y., Czycholl, G., Fähnle, M. Derivation of phenomenological expressions for transition matrix elements for electron-phonon scattering 2015 (misc)

link (url) [BibTex]

pi Sitti, M., Kim, S. Dry adhesives and methods for making dry adhesives sep 2013, US Patent App. 14/016,651 (misc)

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pi Sitti, M., Kim, S. Dry adhesives and methods for making dry adhesives sep 2013, US Patent App. 14/016,683 (misc)

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pi Sitti, M., Kim, S. Dry adhesives and methods for making dry adhesives sep 2013, US Patent 8,524,092 (misc)

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ei Logothetis, N., Eschenko, O., Murayama, Y., Augath, M., Steudel, T., Evrard, H., Besserve, M., Oeltermann, A. Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI Twenty-Second Annual Computational Neuroscience Meeting (CNS*2013), July 2013, journal = {BMC Neuroscience}, year = {2013}, month = {7}, volume = {14}, number = {Supplement 1}, pages = {A1}, (talk)

Web [BibTex]

pi Sitti, M., Murphy, M., Aksak, B. Dry adhesives and methods of making dry adhesives March 2013, US Patent App. 13/845,702 (misc)

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

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ei Muandet, K. Domain Generalization via Invariant Feature Representation 30th International Conference on Machine Learning (ICML2013), 2013 (talk)

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ei Lopez-Paz, D., Duvenaud, D. Random Projections (Computational and Biological Learning Lab, University of Cambridge, 2013) 2013 (talk)

PDF Web [BibTex]

ei Schölkopf, B., Luo, Z., Vovk, V. Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik Springer, 2013 (book)

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ei Chapelle, O. Some thoughts about Gaussian Processes NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)

PDF Web [BibTex]

ei Chapelle, O. A taxonomy of semi-supervised learning algorithms Yahoo!, December 2005 (talk)

PDF [BibTex]

ei Wu, M., Schölkopf, B., BakIr, G. Building Sparse Large Margin Classifiers The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)

PDF [BibTex]

ei Zhou, D. Learning from Labeled and Unlabeled Data on a Directed Graph The 22nd International Conference on Machine Learning, August 2005 (talk)

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ei Bensch, M., Bogdan, M., Hill, N., Lal, T., Rosenstiel, W., Schölkopf, B., Schröder, M. Machine-Learning Approaches to BCI in Tübingen Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)

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pi Fearing, R. S., Sitti, M. Adhesive microstructure and method of forming same March 2005, US Patent 6,872,439 (misc)

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ei Gretton, A., Smola, A., Bousquet, O., Herbrich, R., Belitski, A., Augath, M., Murayama, Y., Schölkopf, B., Logothetis, N. Kernel Constrained Covariance for Dependence Measurement AISTATS, January 2005 (talk)

PostScript [BibTex]

ei Zhou, D. How to learn from very few examples? October 2004 (talk)

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ei Zhou, D. Discrete vs. Continuous: Two Sides of Machine Learning October 2004 (talk)

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ei Zhou, D. Discrete vs. Continuous: Two Sides of Machine Learning October 2004 (talk)

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ei Eichhorn, J. Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung September 2004 (talk)

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ei Schölkopf, B., Tsuda, K., Vert, J. Kernel Methods in Computational Biology pages: 410, Computational Molecular Biology, MIT Press, Cambridge, MA, USA, August 2004 (book)

Web [BibTex]

ei Zhou, D. Riemannian Geometry on Graphs and its Application to Ranking and Classification June 2004 (talk)

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ei Zhou, D. Learning from Labeled and Unlabeled Data: Semi-supervised Learning and Ranking January 2004 (talk)

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ei Bousquet, O. Introduction to Category Theory Internal Seminar, January 2004 (talk)

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ei Schölkopf, B. Statistische Lerntheorie und Empirische Inferenz Jahrbuch der Max-Planck-Gesellschaft, 2004, pages: 377-382, 2004 (misc)

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ei Bousquet, O. Advanced Statistical Learning Theory Machine Learning Summer School, 2004 (talk)

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mms Nanoscale Materials for Energy Storage {Materials Science \& Engineering B}, 108, pages: 292, Elsevier, 2004 (misc)

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