180 results
(View BibTeX file of all listed publications)

**Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data**
*Proceedings of the 6th International Workshop on Pattern Recognition in NeuroImaging (PRNI 2016)*, June 2016 (conference)

**Approximate dual control maintaining the value of information with an application to building control**
In *European Control Conference (ECC)*, pages: 800-806, June 2016 (inproceedings)

**Domain Adaptation with Conditional Transferable Components**
*Proceedings of the 33nd International Conference on Machine Learning (ICML)*, 48, pages: 2839-2848, JMLR Workshop and Conference Proceedings, (Editors: Balcan, M.-F. and Weinberger, K. Q.), June 2016 (conference)

**Learning Causal Interaction Network of Multivariate Hawkes Processes**
*Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI)*, June 2016, poster presentation (conference)

**Efficient Large-scale Approximate Nearest Neighbor Search on the GPU**
*29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR)*, pages: 2027 - 2035, IEEE, June 2016 (conference)

**On the Identifiability and Estimation of Functional Causal Models in the Presence of Outcome-Dependent Selection**
*Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI)*, pages: 825-834, (Editors: Ihler, A. and Janzing, D.), AUAI Press, June 2016 (conference)

**Active Uncertainty Calibration in Bayesian ODE Solvers**
*Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI)*, pages: 309-318, (Editors: Ihler, A. and Janzing, D.), AUAI Press, June 2016 (conference)

**The Arrow of Time in Multivariate Time Serie**
*Proceedings of the 33rd International Conference on Machine Learning (ICML)*, 48, pages: 2043-2051, JMLR Workshop and Conference Proceedings, (Editors: Balcan, M. F. and Weinberger, K. Q.), JMLR, June 2016 (conference)

**A Kernel Test for Three-Variable Interactions with Random Processes**
*Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI)*, (Editors: Ihler, Alexander T. and Janzing, Dominik), June 2016 (conference)

**Continuous Deep Q-Learning with Model-based Acceleration**
*Proceedings of the 33nd International Conference on Machine Learning (ICML)*, 48, pages: 2829-2838, JMLR Workshop and Conference Proceedings, (Editors: Maria-Florina Balcan and Kilian Q. Weinberger), JMLR.org, June 2016 (conference)

**Bounded Rational Decision-Making in Feedforward Neural Networks**
*Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI)*, pages: 407-416, June 2016 (conference)

**Batch Bayesian Optimization via Local Penalization**
*Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)*, 51, pages: 648-657, JMLR Workshop and Conference Proceedings, (Editors: Gretton, A. and Robert, C. C.), May 2016 (conference)

**MuProp: Unbiased Backpropagation for Stochastic Neural Networks**
*4th International Conference on Learning Representations (ICLR)*, May 2016 (conference)

**An Improved Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis**
*Proceedings of the Sixth International BCI Meeting*, pages: 44, (Editors: Müller-Putz, G. R. and Huggins, J. E. and Steyrl, D.), BCI, May 2016 (conference)

**Movement Primitives with Multiple Phase Parameters**
*IEEE International Conference on Robotics and Automation (ICRA)*, pages: 201-206, IEEE, May 2016 (conference)

**TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification**
*Proceedings of the 2016 SIAM International Conference on Data Mining (SDM)*, pages: 234-242, (Editors: Sanjay Chawla Venkatasubramanian and Wagner Meira), May 2016 (conference)

**A Lightweight Robotic Arm with Pneumatic Muscles for Robot Learning**
*Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)*, pages: 4086-4092, IEEE, IEEE International Conference on Robotics and Automation, May 2016 (conference)

**Probabilistic Approximate Least-Squares**
*Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)*, 51, pages: 676-684, JMLR Workshop and Conference Proceedings, (Editors: Gretton, A. and Robert, C. C. ), May 2016 (conference)

**A Transfer Learning Approach for Adaptive Classification in P300 Paradigms**
*Sixth International BCI Meeting (BCI)*, May 2016 (conference)

**Learning soft task priorities for control of redundant robots**
* IEEE International Conference on Robotics and Automation (ICRA)*, pages: 221-226, IEEE, May 2016 (conference)

**On the Reliability of Information and Trustworthiness of Web Sources in Wikipedia**
*Wikipedia workshop at the 10th International AAAI Conference on Web and Social Media (ICWSM)*, May 2016 (conference)

**Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines**
*Proceedings of the 3rd ACM conference on Learning @ Scale*, pages: 369-378, (Editors: Haywood, J. and Aleven, V. and Kay, J. and Roll, I.), ACM, L@S, April 2016, (An earlier version of this paper had been presented at the ICML 2015 workshop for Machine Learning for Education.) (conference)

**Fabular: Regression Formulas As Probabilistic Programming**
*Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL)*, pages: 271-283, POPL ’16, ACM, January 2016 (conference)

**Modeling Variability of Musculoskeletal Systems with Heteroscedastic Gaussian Processes**
*Workshop on Neurorobotics*, Neural Information Processing Systems (NIPS), 2016 (conference)

**Screening Rules for Convex Problems**
2016 (unpublished) Submitted

**Causal and statistical learning**
*Oberwolfach Reports*, 13(3):1896-1899, (Editors: A. Christmann and K. Jetter and S. Smale and D.-X. Zhou), 2016 (conference)

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

**Popper, Falsification and the VC-dimension**
(145), Max Planck Institute for Biological Cybernetics, November 2005 (techreport)

**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 Combinatorial View of Graph Laplacians**
(144), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2005 (techreport)

**Beyond Pairwise Classification and Clustering Using Hypergraphs**
(143), Max Planck Institute for Biological Cybernetics, August 2005 (techreport)

**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)

**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)

**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)

**Methods Towards Invasive Human Brain Computer Interfaces**
In *Advances in Neural Information Processing Systems 17*, pages: 737-744, (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)

**A Machine Learning Approach to Conjoint Analysis**
In *Advances in Neural Information Processing Systems 17*, pages: 257-264, (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)

**An Auditory Paradigm for Brain-Computer Interfaces**
In *Advances in Neural Information Processing Systems 17*, pages: 569-576, (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)

**Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection **
In *Advances in Neural Information Processing Systems 17*, pages: 1425-1432, (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)

**Machine Learning Applied to Perception: Decision Images for Classification**
In *Advances in Neural Information Processing Systems 17*, pages: 1489-1496, (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)

**Breaking SVM Complexity with Cross-Training**
In *Advances in Neural Information Processing Systems 17*, pages: 81-88, (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)

**Implicit Wiener series for higher-order image analysis**
In *Advances in Neural Information Processing Systems 17*, pages: 465-472, (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)

**Limits of Spectral Clustering**
In *Advances in Neural Information Processing Systems 17*, pages: 857-864, (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)

**Semi-supervised Learning on Directed Graphs**
In *Advances in Neural Information Processing Systems 17*, pages: 1633-1640, (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)

**Splines with non positive kernels**
In *5th International ISAAC Congress*, pages: 1-10, (Editors: Begehr, H. G.W., F. Nicolosi), World Scientific, Singapore, 5th International ISAAC Congress, July 2005 (inproceedings)

**Kernel Methods for Implicit Surface Modeling**
In *Advances in Neural Information Processing Systems 17*, pages: 1193-1200, (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)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
(140), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2005 (techreport)