143 results
(View BibTeX file of all listed publications)

**Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives**
*IEEE International Conference on Robotics and Automation, (ICRA)*, pages: 1-8, IEEE, May 2018 (conference)

**Sobolev GAN**
*6th International Conference on Learning Representations (ICLR)*, May 2018, *equal contribution (conference)

**Temporal Difference Models: Model-Free Deep RL for Model-Based Control**
*6th International Conference on Learning Representations (ICLR)*, May 2018, *equal contribution (conference)

**Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders**
*Workshop at the 6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning**
*6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Tempered Adversarial Networks**
*Workshop at the 6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Learning Coupled Forward-Inverse Models with Combined Prediction Errors**
*IEEE International Conference on Robotics and Automation, (ICRA)*, pages: 2433-2439, IEEE, May 2018 (conference)

**Learning Disentangled Representations with Wasserstein Auto-Encoders**
*Workshop at the 6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Automatic Estimation of Modulation Transfer Functions**
*IEEE International Conference on Computational Photography (ICCP)*, May 2018 (conference)

**Causal Discovery Using Proxy Variables**
*Workshop at 6th International Conference on Learning Representations (ICLR)*, May 2018 (conference)

**Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences**
*IEEE International Conference on Robotics and Automation, (ICRA)*, pages: 596-601, IEEE, May 2018 (conference)

**Group invariance principles for causal generative models**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS)*, 84, pages: 557-565, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Boosting Variational Inference: an Optimization Perspective**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS)*, 84, pages: 464-472, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Cause-Effect Inference by Comparing Regression Errors**
*Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) *, 84, pages: 900-909, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

**Will People Like Your Image? Learning the Aesthetic Space**
*2018 IEEE Winter Conference on Applications of Computer Vision (WACV)*, pages: 2048-2057, March 2018 (conference)

**Representation of sensory uncertainty in macaque visual cortex**
Computational and Systems Neuroscience (COSYNE) 2018, March 2018 (poster)

**Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation**
*Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM)*, pages: 324-332, (Editors: Yi Chang, Chengxiang Zhai, Yan Liu, and Yoelle Maarek), ACM, Febuary 2018 (conference)

Schölkopf, B.
**Die kybernetische Revolution**
*15-Mar-2018, Süddeutsche Zeitung*, 2018 (misc)

**Functional Programming for Modular Bayesian Inference**
*Proceedings of the ACM on Functional Programming (ICFP)*, 2(Article No. 83):1-29, ACM, 2018 (conference)

**Automatic Bayesian Density Analysis**
2018 (conference) Submitted

Babbar, R., Schölkopf, B.
**Adversarial Extreme Multi-label Classification**
2018 (conference) Submitted

**k–SVRG: Variance Reduction for Large Scale Optimization**
In 2018 (inproceedings) Submitted

**Probabilistic Deep Learning using Random Sum-Product Networks**
2018 (conference) Submitted

**Generalized phase locking analysis of electrophysiology data**
*7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles*, 2018 (poster)

**A Differentially Private Kernel Two-Sample Test**
2018, *equal contribution (conference) Submitted

**Counterfactuals uncover the modular structure of deep generative models**
2018 (conference) Submitted

**Photorealistic Video Super Resolution**
*Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV)*, 2018 (poster)

**Denotational Validation of Higher-order Bayesian Inference**
*Proceedings of the ACM on Principles of Programming Languages (POPL)*, 2(Article No. 60):1-29, ACM, 2018 (conference)

**Retinal image quality of the human eye across the visual field**
14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018), 2018 (poster)

**Large sample analysis of the median heuristic**
2018 (misc) In preparation

**Kernel ICA for Large Scale Problems**
In pages: -, NIPS Workshop on Large Scale Kernel Machines, December 2005 (inproceedings)

**Infinite dimensional exponential families by reproducing kernel Hilbert spaces**
In *IGAIA 2005*, pages: 324-333, 2nd International Symposium on Information Geometry and its Applications, December 2005 (inproceedings)

**Method and device for detection of splice form and alternative splice forms in DNA or RNA sequences**
European Patent Application, International No PCT/EP2005/005783, December 2005 (patent)

**Shortest-path kernels on graphs**
In pages: 74-81, IEEE Computer Society, Los Alamitos, CA, USA, Fifth International Conference on Data Mining (ICDM), November 2005 (inproceedings)

**Kernel methods for dependence testing in LFP-MUA**
35(689.17), 35th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2005 (poster)

**Training Support Vector Machines with Multiple Equality Constraints **
In *Proceedings of the 16th European Conference on Machine Learning, Lecture Notes in Computer Science, Vol. 3720*, pages: 182-193, (Editors: JG Carbonell and J Siekmann), Springer, Berlin, Germany, ECML, November 2005 (inproceedings)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734*, pages: 63-78, (Editors: S Jain and H-U Simon and E Tomita), Springer, Berlin, Germany, 16th International Conference ALT, October 2005 (inproceedings)

**An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron**
In *Algorithmic Learning Theory: 16th International Conference*, pages: 78-92, Algorithmic Learning Theory, October 2005 (inproceedings)

**A new methodology for robot controller design**
In *Proceedings of the 5th ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC‘05)*, 5, pages: 1067-1076 , ASME, New York, NY, USA, 5th ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC-MSNDC), September 2005 (inproceedings)

**Rapid animal detection in natural scenes: Critical features are local**
*Journal of Vision*, 5(8):376, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**EEG-Based Mental Task Classification: Linear and Nonlinear
Classification of Movement Imagery**
In *EMBS*, 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), September 1-4,, Shanghai, China (Accepted), September 2005 (inproceedings) Accepted

**Learning an Interest Operator from Eye Movements**
*International Workshop on Bioinspired Information Processing (BIP 2005)*, 2005, pages: 1, September 2005 (poster)

**Classification of natural scenes using global image statistics**
*Journal of Vision*, 5(8):602, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)

**Building Sparse Large Margin Classifiers**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 996-1003, (Editors: L De Raedt and S Wrobel ), ACM, New York, NY, USA, ICML , August 2005 (inproceedings)

**A unifying methodology for the control of robotic systems**
In *Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005)*, pages: 1824-1831, IEEE Operations Center, Piscataway, NJ, USA, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), August 2005 (inproceedings)

**Learning from Labeled and Unlabeled Data on a Directed Graph**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 1041 -1048, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, August 2005 (inproceedings)

**Regularization on Discrete Spaces**
In *Pattern Recognition, Lecture Notes in Computer Science, Vol. 3663*, pages: 361-368, (Editors: WG Kropatsch and R Sablatnig and A Hanbury), Springer, Berlin, Germany, 27th DAGM Symposium, August 2005 (inproceedings)

**Large Margin Non-Linear Embedding**
In *ICML 2005*, pages: 1065-1072, (Editors: De Raedt, L. , S. Wrobel), ACM Press, New York, NY, USA, 22nd International Conference on Machine Learning, August 2005 (inproceedings)

**Triangle Fixing Algorithms for the Metric Nearness Problem**
In *Advances in Neural Information Processing Systems 17*, pages: 361-368, (Editors: Saul, L.K. , Y. Weiss, L. Bottou), MIT Press, Cambridge, MA, USA, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Face Detection: Efficient and Rank Deficient**
In *Advances in Neural Information Processing Systems 17*, pages: 673-680, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)