153 results
(View BibTeX file of all listed publications)

**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)

**Gender Classification of Human Faces**
In *Biologically Motivated Computer Vision*, pages: 1-18, (Editors: Bülthoff, H. H., S.W. Lee, T. A. Poggio and C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Insect-Inspired Estimation of Self-Motion**
In *Biologically Motivated Computer Vision*, (2525):171-180, LNCS, (Editors: Bülthoff, H.H. , S.W. Lee, T.A. Poggio, C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Combining sensory Information to Improve Visualization**
In *Proceedings of the Conference on Visualization ‘02 (VIS ‘02)*, pages: 571-574, (Editors: Moorhead, R. , M. Joy), IEEE, Piscataway, NJ, USA, IEEE Conference on Visualization (VIS '02), October 2002 (inproceedings)

**Sampling Techniques for Kernel Methods **
In *Advances in neural information processing systems 14 *, pages: 335-342, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**The Infinite Hidden Markov Model**
In *Advances in Neural Information Processing Systems 14*, pages: 577-584, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**A new discriminative kernel from probabilistic models**
In *Advances in Neural Information Processing Systems 14*, pages: 977-984, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Incorporating Invariances in Non-Linear Support Vector Machines **
In *Advances in Neural Information Processing Systems 14*, pages: 609-616, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Kernel feature spaces and nonlinear blind source separation**
In *Advances in Neural Information Processing Systems 14*, pages: 761-768, (Editors: Dietterich, T. G., S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Algorithms for Learning Function Distinguishable Regular Languages**
In *Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition*, pages: 64-73, (Editors: Caelli, T. , A. Amin, R. P.W. Duin, M. Kamel, D. de Ridder), Springer, Berlin, Germany, Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, August 2002 (inproceedings)

**Decision Boundary Pattern Selection for Support Vector Machines**
In *Proc. of the Korean Data Mining Conference*, pages: 33-41, Korean Data Mining Conference, May 2002 (inproceedings)

**k-NN based Pattern Selection for Support Vector Classifiers**
In *Proc. of the Korean Industrial Engineers Conference*, pages: 645-651, Korean Industrial Engineers Conference, May 2002 (inproceedings)

**Microarrays: How Many Do You Need?**
In *RECOMB 2002*, pages: 321-330, ACM Press, New York, NY, USA, Sixth Annual International Conference on Research in Computational Molecular Biology, April 2002 (inproceedings)

**Pattern Selection for Support Vector Classifiers**
In *Ideal 2002*, pages: 97-103, (Editors: Yin, H. , N. Allinson, R. Freeman, J. Keane, S. Hubbard), Springer, Berlin, Germany, Third International Conference on Intelligent Data Engineering and Automated Learning, January 2002 (inproceedings)

**The leave-one-out kernel**
In *Artificial Neural Networks -- ICANN 2002*, 2415, pages: 727-732, LNCS, (Editors: Dorronsoro, J. R.), Artificial Neural Networks -- ICANN, 2002 (inproceedings)

**Localized Rademacher Complexities**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, pages: 44-58, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)

**Film Cooling: A Comparative Study of Different Heaterfoil Configurations for Liquid Crystals Experiments**
In *ASME TURBO EXPO 2002, Amsterdam*, GT-2002-30552, ASME TURBO EXPO, Amsterdam, 2002 (inproceedings)

**Some Local Measures of Complexity of Convex Hulls and Generalization Bounds**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)

**A kernel approach for learning from almost orthogonal patterns**
In *Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science*, 2430/2431, pages: 511-528, Lecture Notes in Computer Science, (Editors: T Elomaa and H Mannila and H Toivonen), Springer, Berlin, Germany, 13th European Conference on Machine Learning (ECML) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), 2002 (inproceedings)

**Infinite Mixtures of Gaussian Process Experts**
In (Editors: Dietterich, Thomas G.; Becker, Suzanna; Ghahramani, Zoubin), 2002 (inproceedings)

**Marginalized kernels for RNA sequence data analysis**
In *Genome Informatics 2002*, pages: 112-122, (Editors: Lathtop, R. H.; Nakai, K.; Miyano, S.; Takagi, T.; Kanehisa, M.), Genome Informatics, 2002, (Best Paper Award) (inproceedings)

**Luminance Artifacts on CRT Displays**
In *IEEE Visualization*, pages: 571-574, (Editors: Moorhead, R.; Gross, M.; Joy, K. I.), IEEE Visualization, 2002 (inproceedings)

**The view-graph approach to visual navigation and spatial memory**
In *Artificial Neural Networks: ICANN ’97*, pages: 751-756, (Editors: W Gerstner and A Germond and M Hasler and J-D Nicoud), Springer, Berlin, Germany, 7th International Conference on Artificial Neural Networks, October 1997 (inproceedings)

**Predicting time series with support vector machines **
In *Artificial Neural Networks: ICANN’97*, pages: 999-1004, (Editors: Schölkopf, B. , C.J.C. Burges, A.J. Smola), Springer, Berlin, Germany, 7th International Conference on Artificial Neural Networks , October 1997 (inproceedings)

**Predicting time series with support vectur machines**
In *Artificial neural networks: ICANN ’97*, pages: 999-1004, (Editors: W Gerstner and A Germond and M Hasler and J-D Nicoud), Springer, Berlin, Germany, 7th International Conference on Artificial Neural Networks , October 1997 (inproceedings)

**Kernel principal component analysis**
In *Artificial neural networks: ICANN ’97, LNCS, vol. 1327*, pages: 583-588, (Editors: W Gerstner and A Germond and M Hasler and J-D Nicoud), Springer, Berlin, Germany, 7th International Conference on Artificial Neural Networks, October 1997 (inproceedings)