211 results
(View BibTeX file of all listed publications)

**Identifying confounders using additive noise models**
In *Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence*, pages: 249-257, (Editors: J Bilmes and AY Ng), AUAI Press, Corvallis, OR, USA, UAI, June 2009 (inproceedings)

**Regression by dependence minimization and its application to causal inference in additive noise models**
In *Proceedings of the 26th International Conference on Machine Learning*, pages: 745-752, (Editors: A Danyluk and L Bottou and M Littman), ACM Press, New York, NY, USA, ICML, June 2009 (inproceedings)

**Fitted Q-iteration by Advantage Weighted Regression**
In *Advances in neural information processing systems 21*, pages: 1177-1184, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Global Connectivity Potentials for Random Field Models**
In *CVPR 2009*, pages: 818-825, IEEE Service Center, Piscataway, NJ, USA, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2009 (inproceedings)

**Bayesian Experimental Design of Magnetic Resonance Imaging Sequences**
In *Advances in neural information processing systems 21*, pages: 1441-1448, (Editors: D Koller and D Schuurmans and Y Bengio and L Bottou), Curran, Red Hook, NY, USA, 22nd Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Characteristic Kernels on Groups and Semigroups**
In *Advances in neural information processing systems 21*, pages: 473-480, (Editors: D Koller and D Schuurmans and Y Bengio and L Bottou), Curran, Red Hook, NY, USA, 22nd Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Policy Search for Motor Primitives in Robotics**
In *Advances in neural information processing systems 21*, pages: 849-856, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**The graphlet spectrum**
In *Proceedings of the 26th International Conference on Machine Learning (ICML 2009)*, pages: 529-536, (Editors: Danyluk, A. , L. Bottou, M. Littman), ACM Press, New York, NY, USA, 26th International Conference on Machine Learning (ICML), June 2009 (inproceedings)

**Learning Similarity Measure for Multi-Modal 3D Image Registration**
In *Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition*, pages: 186-193, IEEE Service Center, Piscataway, NJ, USA, CVPR, June 2009 (inproceedings)

**Learning Complex Motions by Sequencing Simpler Motion Templates**
In *ICML 2009*, pages: 753-760, (Editors: Danyluk, A. , L. Bottou, M. Littman), ACM Press, New York, NY, USA, 26th International Conference on Machine Learning, June 2009 (inproceedings)

**Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised Learning**
In *ICML 2009*, pages: 769-776, (Editors: Danyluk, A. , L. Bottou, M. Littman), ACM Press, New York, NY, USA, 26th International Conference on Machine Learning, June 2009 (inproceedings)

**Kernel Measures of Independence for Non-IID Data**
In *Advances in neural information processing systems 21*, pages: 1937-1944, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Using Bayesian Dynamical Systems for Motion Template Libraries**
In *Advances in neural information processing systems 21*, pages: 297-304, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Multi-way set enumeration in real-valued tensors**
In *Proceedings of the 2nd Workshop on Data Mining using Matrices and Tensors (DMMT 2009)*, pages: 32-41, (Editors: C Ding and T Li), ACM Press, New York, NY, USA, 2nd Workshop on Data Mining using Matrices and Tensors (DMMT/KDD), June 2009 (inproceedings)

**Non-parametric Regression between Riemannian Manifolds**
In *Advances in neural information processing systems 21*, pages: 1561-1568, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Near-optimal supervised feature selection among frequent subgraphs**
In *Proccedings of the 2009 SIAM Conference on Data Mining (SDM 2009)*, pages: 1076-1087, (Editors: Park, H. , S. Parthasarathy, H. Liu), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, 9th SIAM Conference on Data Mining (SDM), May 2009 (inproceedings)

**Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction**
In *Proceedings of the 2009 SIAM International Conference on Data Mining*, pages: 1099-1110, (Editors: Park, H. , S. Parthasarathy, H. Liu), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, SDM, May 2009 (inproceedings)

**Learning motor primitives for robotics**
In *Proceedings of the 2009 IEEE International Conference on Robotics and Automation (ICRA 2009)*, pages: 2112-2118, IEEE Service Center, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA '09), May 2009 (inproceedings)

**A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series**
In *Research in Computational Molecular Biology*, pages: 201-216, (Editors: Batzoglou, S. ), Springer, Berlin, Germany, 13th Annual International Conference on Research in Computational Molecular Biology (RECOMB), May 2009 (inproceedings)

**A Bayesian Approach to Graph Regression with Relevant Subgraph Selection**
In *SIAM International Conference on Data Mining*, pages: 295-304, (Editors: Park, H. , S. Parthasarathy, H. Liu), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, SDM, May 2009 (inproceedings)

**Efficient data reuse in value function approximation**
In *IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning*, pages: 8-15, IEEE Service Center, Piscataway, NJ, USA, IEEE ADPRL, May 2009 (inproceedings)

**Using reward-weighted imitation for robot Reinforcement Learning**
In *IEEE ADPRL 2009*, pages: 226-232, IEEE Service Center, Piscataway, NJ, USA, 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning, May 2009 (inproceedings)

**Denoising photographs using dark frames optimized by quadratic programming**
In *Proceedings of the First IEEE International Conference on Computational Photography (ICCP 2009)*, pages: 1-9, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP), April 2009 (inproceedings)

**On Pairwise Kernels: An Efficient Alternative and Generalization Analysis**
In *Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia Conference*, pages: 1030-1037, (Editors: Theeramunkong, T. , B. Kijsirikul, N. Cercone, T. B. Ho), Springer, Berlin, Germany, PAKDD, April 2009 (inproceedings)

**Convex Perturbations for Scalable Semidefinite Programming**
In *JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009*, pages: 296-303, (Editors: van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 (inproceedings)

**Block Jacobi-type methods for non-orthogonal joint diagonalisation**
In *ICASSP09*, pages: 3285-3288, IEEE Service Center, Piscataway, NJ, USA, 34th International Conference on Acoustics, Speech, and Signal Processing, April 2009 (inproceedings)

**An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward**
In *JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009*, pages: 232-239, (Editors: van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 (inproceedings)

**Efficient Graphlet Kernels for Large Graph Comparison**
In *JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009*, pages: 488-495, (Editors: Van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 (inproceedings)

**Online blind deconvolution for astronomical imaging**
In *Proceedings of the First IEEE International Conference Computational Photography (ICCP 2009)*, pages: 1-7, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP), April 2009 (inproceedings)

**A kernel method for unsupervised structured network inference**
In *JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009*, pages: 368-375, (Editors: Van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 (inproceedings)

**PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering**
In *JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009*, pages: 472-479, MIT Press, Cambridge, MA, USA, 12th International Conference on Artificial Intelligence and Statistics, April 2009 (inproceedings)

**Efficient Bregman Range Search**
In *Advances in Neural Information Processing Systems 22*, pages: 243-251, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions**
In *Advances in Neural Information Processing Systems 22*, pages: 1750-1758, (Editors: Y Bengio and D Schuurmans and J Lafferty and C Williams and A Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**Nonlinear directed acyclic structure learning with weakly additive noise models**
In *Advances in Neural Information Processing Systems 22*, pages: 1847-1855, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**Graphical models for decoding in BCI visual speller systems**
In pages: 470-473, IEEE, 4th International IEEE EMBS Conference on Neural Engineering (NER), 2009 (inproceedings)

**A Fast, Consistent Kernel Two-Sample Test**
In *Advances in Neural Information Processing Systems 22*, pages: 673-681, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity**
In *Advances in Neural Information Processing Systems 22*, pages: 126-134, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**Fast subtree kernels on graphs**
In *Advances in Neural Information Processing Systems 22*, pages: 1660-1668, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**BCPy2000**
Workshop "Machine Learning Open-Source Software" at NIPS, December 2008 (talk)

**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)

**Logistic Regression for Graph Classification**
NIPS Workshop on "Structured Input - Structured Output" (NIPS SISO), December 2008 (talk)

**New Projected Quasi-Newton Methods with Applications**
Microsoft Research Tech-talk, December 2008 (talk)

**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)

**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)

**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)

**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)