250 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)

**Stereo Matching for Calibrated Cameras without Correspondence**
In *CDC 2008*, pages: 2408-2413, IEEE Service Center, Piscataway, NJ, USA, 47th IEEE Conference on Decision and Control, December 2008 (inproceedings)

**Joint Kernel Support Estimation for Structured Prediction**
In *Proceedings of the NIPS 2008 Workshop on "Structured Input - Structured Output" (NIPS SISO 2008)*, pages: 1-4, NIPS Workshop on "Structured Input - Structured Output" (NIPS SISO), December 2008 (inproceedings)

**Frequent Subgraph Retrieval in Geometric Graph Databases**
In *ICDM 2008*, pages: 953-958, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Computer Society, Los Alamitos, CA, USA, 8th IEEE International Conference on Data Mining, December 2008 (inproceedings)

**Block Iterative Algorithms for Non-negative Matrix Approximation**
In *ICDM 2008*, pages: 1037-1042, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Service Center, Piscataway, NJ, USA, Eighth IEEE International Conference on Data Mining, December 2008 (inproceedings)

**A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation**
In *ICMLA 2008*, pages: 3-9, (Editors: Wani, M. A., X.-W. Chen, D. Casasent, L. Kurgan, T. Hu, K. Hafeez), IEEE Computer Society, Los Alamitos, CA, USA, 7th International Conference on Machine Learning and Applications, December 2008 (inproceedings)

**Iterative Subgraph Mining for Principal Component Analysis**
In *ICDM 2008*, pages: 1007-1012, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Computer Society, Los Alamitos, CA, USA, IEEE International Conference on Data Mining, December 2008 (inproceedings)

**Frequent Subgraph Retrieval in Geometric Graph Databases**
(180), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Probabilistic Inference for Fast Learning in Control**
In *EWRL 2008*, pages: 229-242, (Editors: Girgin, S. , M. Loth, R. Munos, P. Preux, D. Ryabko), Springer, Berlin, Germany, 8th European Workshop on Reinforcement Learning, November 2008 (inproceedings)

**Simultaneous Implicit Surface
Reconstruction and Meshing**
(179), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Policy Learning: A Unified Perspective with Applications in Robotics**
In *EWRL 2008*, pages: 220-228, (Editors: Girgin, S. , M. Loth, R. Munos, P. Preux, D. Ryabko), Springer, Berlin, Germany, 8th European Workshop on Reinforcement Learning, November 2008 (inproceedings)

**Taxonomy Inference Using Kernel Dependence
Measures**
(181), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**Learning to Localize Objects with Structured Output Regression**
In *ECCV 2008*, pages: 2-15, (Editors: Forsyth, D. A., P. H.S. Torr, A. Zisserman), Springer, Berlin, Germany, 10th European Conference on Computer Vision, October 2008, Best Student Paper Award (inproceedings)

**Automatic Image Colorization Via Multimodal Predictions**
In *Computer Vision - ECCV 2008, Lecture Notes in Computer Science, Vol. 5304*, pages: 126-139, (Editors: DA Forsyth and PHS Torr and A Zisserman), Springer, Berlin, Germany, 10th European Conference on Computer Vision, October 2008 (inproceedings)

**Nonparametric Independence Tests: Space
Partitioning and Kernel Approaches**
In *ALT08*, pages: 183-198, (Editors: Freund, Y. , L. Györfi, G. Turán, T. Zeugmann), Springer, Berlin, Germany, 19th International Conference on Algorithmic Learning Theory (ALT08), October 2008 (inproceedings)

**Automatic 3D Face Reconstruction from Single Images or Video**
In *FG 2008*, pages: 1-8, IEEE Computer Society, Los Alamitos, CA, USA, 8th IEEE International Conference on Automatic Face and Gesture Recognition, September 2008 (inproceedings)

**Kernel Measures of Conditional Dependence**
In *Advances in neural information processing systems 20*, pages: 489-496, (Editors: JC Platt and D Koller and Y Singer and S Roweis), Curran, Red Hook, NY, USA, 21st Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)

**An Analysis of Inference with the Universum**
In *Advances in neural information processing systems 20*, pages: 1369-1376, (Editors: JC Platt and D Koller and Y Singer and S Roweis), Curran, Red Hook, NY, USA, 21st Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)

**Learning with Transformation Invariant Kernels**
In *Advances in neural information processing systems 20*, pages: 1561-1568, (Editors: Platt, J. C., D. Koller, Y. Singer, S. Roweis), Curran, Red Hook, NY, USA, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)

**Episodic Reinforcement Learning by Logistic Reward-Weighted Regression**
In *ICANN 2008*, pages: 407-416, (Editors: Kurkova-Pohlova, V. , R. Neruda, J. Koutnik), Springer, Berlin, Germany, 18th International Conference on Artificial Neural Networks, September 2008 (inproceedings)

**Local Gaussian Processes Regression for Real-time Model-based Robot Control**
In *IROS 2008*, pages: 380-385, IEEE Service Center, Piscataway, NJ, USA, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 2008 (inproceedings)

**Colored Maximum Variance Unfolding**
In *Advances in neural information processing systems 20*, pages: 1385-1392, (Editors: Platt, J. C., D. Koller, Y. Singer, S. Roweis), Curran, Red Hook, NY, USA, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)

**Assessing Nonlinear Granger Causality from Multivariate Time Series**
In *Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008*, pages: 440-455, (Editors: Daelemans, W. , B. Goethals, K. Morik), Springer, Berlin, Germany, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), September 2008 (inproceedings)

**Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models**
(175), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2008 (techreport)

**Near-Maximum Entropy Models for Binary Neural Representations of Natural Images**
In *Advances in neural information processing systems 20*, pages: 97-104, (Editors: Platt, J. C., D. Koller, Y. Singer, S. Roweis), Curran, Red Hook, NY, USA, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS), September 2008 (inproceedings)