45 results
(View BibTeX file of all listed publications)

**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)

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

**Information-Theoretic Implications of Classical and Quantum Causal Structures **
18th Conference on Quantum Information Processing (QIP), 2015 (talk)

**Cosmology from Cosmic Shear with DES Science Verification Data**
*arXiv preprint arXiv:1507.05552*, 2015 (techreport)

**The DES Science Verification Weak Lensing Shear Catalogs**
*arXiv preprint arXiv:1507.05603*, 2015 (techreport)

**The search for single exoplanet transits in the Kepler light curves**
*IAU General Assembly*, 22, pages: 2258352, 2015 (talk)

**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)

**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)

**Animating Samples from Gaussian Distributions**
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)

**Domain Generalization via Invariant Feature Representation**
30th International Conference on Machine Learning (ICML2013), 2013 (talk)

**Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era**
*arXiv:1309.0653*, 2013 (techreport)

**Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars**
*arXiv:1309.0654*, 2013 (techreport)

**Learning an Interactive Segmentation System**
Max Planck Institute for Biological Cybernetics, December 2009 (techreport)

**Machine Learning for Brain-Computer Interfaces**
Mini-Symposia on Assistive Machine Learning for People with Disabilities at NIPS (AMD), December 2009 (talk)

**PAC-Bayesian Approach to Formulation of Clustering Objectives**
NIPS Workshop on "Clustering: Science or Art? Towards Principled Approaches", December 2009 (talk)

**Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data**
Women in Machine Learning Workshop (WiML), December 2009 (talk)

**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)

**Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution**
(188), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2009 (techreport)

**Event-Related Potentials in Brain-Computer Interfacing**
Invited lecture on the bachelor & masters course "Introduction to Brain-Computer Interfacing", October 2009 (talk)

**BCI2000 and Python**
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)

**Implementing a Signal Processing Filter in BCI2000 Using C++**
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)

**Consistent Nonparametric Tests of Independence**
(172), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2009 (techreport)

**Learning Motor Primitives for Robotics**
Advanced Telecommunications Research Center ATR, June 2009 (talk)

**Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer**
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2009 (talk)

**Semi-supervised subspace analysis of human functional magnetic resonance imaging data**
(185), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2009 (techreport)

**Joint Kernel Maps**
(131), Max-Planck-Institute for Biological Cybernetics, Tübingen, November 2004 (techreport)

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

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

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

**Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung**
September 2004 (talk)

**Semi-Supervised Induction**
(141), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, August 2004 (techreport)

**Object categorization with SVM: kernels for local features**
(137), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**Hilbertian Metrics and Positive Definite Kernels on Probability Measures**
(126), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**Kernels, Associated Structures and Generalizations**
(127), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**Kamerakalibrierung und Tiefenschätzung:
Ein Vergleich von klassischer Bündelblockausgleichung und statistischen Lernalgorithmen**
Wilhelm-Schickard-Institut für Informatik, Universität Tübingen, Tübingen, Germany, March 2004 (techreport)

**Learning from Labeled and Unlabeled Data: Semi-supervised Learning and Ranking**
January 2004 (talk)

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

**Multivariate Regression with Stiefel Constraints**
(128), MPI for Biological Cybernetics, Spemannstr 38, 72076, Tuebingen, 2004 (techreport)

**Learning from Labeled and Unlabeled Data Using Random Walks**
Max Planck Institute for Biological Cybernetics, 2004 (techreport)

**Behaviour and Convergence of the Constrained Covariance**
(130), MPI for Biological Cybernetics, 2004 (techreport)

**Confidence Sets for Ratios: A Purely Geometric Approach To Fieller’s Theorem**
(133), Max Planck Institute for Biological Cybernetics, 2004 (techreport)

**Transductive Inference with Graphs**
Max Planck Institute for Biological Cybernetics, 2004, See the improved version Regularization on Discrete Spaces. (techreport)

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