2023
Berenz, V., Widmaier, F., Guist, S., Schölkopf, B., Büchler, D.
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Robot Software Architectures Workshop (RSA) 2023, ICRA, 2023 (techreport)
2021
Belousov, B., H., A., Klink, P., Parisi, S., Peters, J.
Reinforcement Learning Algorithms: Analysis and Applications
883, Studies in Computational Intelligence, Springer International Publishing, 2021 (book)
2019
Lutz, P.
Automatic Segmentation and Labelling for Robot Table Tennis Time Series
Technical University Darmstadt, Germany, August 2019 (thesis)
2017
Peters, J., Janzing, D., Schölkopf, B.
Elements of Causal Inference - Foundations and Learning Algorithms
Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (book)
2015
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)
Jarvis, M., Sheldon, E., Zuntz, J., Kacprzak, T., Bridle, S. L., Amara, A., Armstrong, R., Becker, M. R., Bernstein, G. M., Bonnett, C., others,
The DES Science Verification Weak Lensing Shear Catalogs
arXiv preprint arXiv:1507.05603, 2015 (techreport)
2014
Kober, J., Peters, J.
Learning Motor Skills: From Algorithms to Robot Experiments
97, pages: 191, Springer Tracts in Advanced Robotics, Springer, 2014 (book)
Schultz, T., Nedjati-Gilani, G., Venkataraman, A., O’Donnell, L., Panagiotaki, E.
Computational Diffusion MRI and Brain Connectivity
pages: 255, Mathematics and Visualization, Springer, 2014 (book)
2013
Hennig, P.
Animating Samples from Gaussian Distributions
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)
Hogg, D. W., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Lang, D., Montet, B. T., Schiminovich, D., Schölkopf, B.
Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era
arXiv:1309.0653, 2013 (techreport)
Montet, B. T., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Hogg, D. W., Lang, D., Schiminovich, D., Schölkopf, B.
Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars
arXiv:1309.0654, 2013 (techreport)
Schölkopf, B., Luo, Z., Vovk, V.
Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik
Springer, 2013 (book)
2012
Grosse-Wentrup, M., Schölkopf, B.
High Gamma-Power Predicts Performance in Brain-Computer Interfacing
(3), Max-Planck-Institut für Intelligente Systeme, Tübingen, February 2012 (techreport)
2011
Sra, S., Nowozin, S., Wright, S.
Optimization for Machine Learning
pages: 494, Neural information processing series, MIT Press, Cambridge, MA, USA, December 2011 (book)
Barber, D., Cemgil, A., Chiappa, S.
Bayesian Time Series Models
pages: 432, Cambridge University Press, Cambridge, UK, August 2011 (book)
Seldin, Y., Laviolette, F., Shawe-Taylor, J., Peters, J., Auer, P.
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2011 (techreport)
Schuler, C., Hirsch, M., Harmeling, S., Schölkopf, B.
Non-stationary Correction of Optical Aberrations
(1), Max Planck Institute for Intelligent Systems, Tübingen, Germany, May 2011 (techreport)
Nickisch, H., Seeger, M.
Multiple Kernel Learning: A Unifying Probabilistic Viewpoint
Max Planck Institute for Biological Cybernetics, March 2011 (techreport)
Langovoy, M., Wittich, O.
Multiple testing, uncertainty and realistic pictures
(2011-004), EURANDOM, Technische Universiteit Eindhoven, January 2011 (techreport)
Lu, H., Schölkopf, B., Zhao, H.
Handbook of Statistical Bioinformatics
pages: 627, Springer Handbooks of Computational Statistics, Springer, Berlin, Germany, 2011 (book)
Sra, S.
Nonconvex proximal splitting: batch and incremental algorithms
(2), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2011 (techreport)
2010
Langovoy, M., Wittich, O.
Computationally efficient algorithms for statistical image processing: Implementation in R
(2010-053), EURANDOM, Technische Universiteit Eindhoven, December 2010 (techreport)
Seeger, M., Nickisch, H.
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
Max Planck Institute for Biological Cybernetics, December 2010 (techreport)
Seldin, Y.
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2010 (techreport)
Tandon, R., Sra, S.
Sparse nonnegative matrix approximation: new formulations and algorithms
(193), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2010 (techreport)
Langovoy, M., Wittich, O.
Robust nonparametric detection of objects in noisy images
(2010-049), EURANDOM, Technische Universiteit Eindhoven, September 2010 (techreport)
Seeger, M., Nickisch, H.
Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models
Max Planck Institute for Biological Cybernetics, August 2010 (techreport)
Jegelka, S., Bilmes, J.
Cooperative Cuts for Image Segmentation
(UWEETR-1020-0003), University of Washington, Washington DC, USA, August 2010 (techreport)
Barbero, A., Sra, S.
Fast algorithms for total-variationbased optimization
(194), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2010 (techreport)
Nickisch, H., Rasmussen, C.
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Max Planck Institute for Biological Cybernetics, June 2010 (techreport)
Sra, S.
Generalized Proximity and Projection with Norms and Mixed-norms
(192), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2010 (techreport)
Jegelka, S., Bilmes, J.
Cooperative Cuts: Graph Cuts with Submodular Edge Weights
(189), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, March 2010 (techreport)
Sigaud, O., Peters, J.
From Motor Learning to Interaction Learning in Robots
pages: 538, Studies in Computational Intelligence ; 264, (Editors: O Sigaud, J Peters), Springer, Berlin, Germany, January 2010 (book)
Steudel, B., Ay, N.
Information-theoretic inference of common ancestors
Computing Research Repository (CoRR), abs/1010.5720, pages: 18, 2010 (techreport)
Zwießele, M.
Detecting and modeling time shifts in microarray time series data applying Gaussian processes
Eberhard Karls Universität Tübingen, Germany, 2010 (thesis)
2009
Nickisch, H., Kohli, P., Rother, C.
Learning an Interactive Segmentation System
Max Planck Institute for Biological Cybernetics, December 2009 (techreport)
Langovoy, M., Wittich, O.
Detection of objects in noisy images and site percolation on square lattices
(2009-035), EURANDOM, Technische Universiteit Eindhoven, November 2009 (techreport)
Harmeling, S., Sra, S., Hirsch, M., Schölkopf, B.
An Incremental GEM Framework for Multiframe Blind Deconvolution, Super-Resolution, and Saturation Correction
(187), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)
Hirsch, M., Sra, S., Schölkopf, B., Harmeling, S.
Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution
(188), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)
Langovoy, M.
Algebraic polynomials and moments of stochastic integrals
(2009-031), EURANDOM, Technische Universiteit Eindhoven, October 2009 (techreport)
Hennig, P.
Expectation Propagation on the Maximum of Correlated Normal Variables
Cavendish Laboratory: University of Cambridge, July 2009 (techreport)
Gretton, A., Györfi, L.
Consistent Nonparametric Tests of Independence
(172), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2009 (techreport)
Shelton, J., Blaschko, M., Bartels, A.
Semi-supervised subspace analysis of human functional magnetic resonance imaging data
(185), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2009 (techreport)
Langovoy, M.
Model selection, large deviations and consistency of data-driven tests
(2009-007), EURANDOM, Technische Universiteit Eindhoven, March 2009 (techreport)
2008
Nowozin, S., Tsuda, K.
Frequent Subgraph Retrieval in Geometric Graph Databases
(180), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)
Giesen, J., Maier, M., Schölkopf, B.
Simultaneous Implicit Surface
Reconstruction and Meshing
(179), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)
Blaschko, M., Gretton, A.
Taxonomy Inference Using Kernel Dependence
Measures
(181), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)
Gehler, P., Nowozin, S.
Infinite Kernel Learning
(178), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, October 2008 (techreport)
Seeger, M., Nickisch, H.
Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models
(175), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2008 (techreport)
Sra, S.
Block-Iterative Algorithms for
Non-Negative Matrix Approximation
(176), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2008 (techreport)