500 results
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**Geometric optimisation on positive definite matrices for elliptically contoured distributions**
In *Advances in Neural Information Processing Systems 26*, pages: 2562-2570, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC**
43rd Annual Meeting of the Society for Neuroscience (Neuroscience), 2013 (poster)

**Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising**
*Journal of Machine Learning Research*, 14, pages: 3207-3260, 2013 (article)

**Fast Probabilistic Optimization from Noisy Gradients**
In *Proceedings of The 30th International Conference on Machine Learning, JMLR W&CP 28(1)*, pages: 62–70, (Editors: S Dasgupta and D McAllester), ICML, 2013 (inproceedings)

**Structure and Dynamics of Information Pathways in On-line Media**
In *6th ACM International Conference on Web Search and Data Mining (WSDM)*, pages: 23-32, (Editors: S Leonardi, A Panconesi, P Ferragina, and A Gionis), ACM, WSDM, 2013 (inproceedings)

**Evaluation and Analysis of the Performance of the EXP3 Algorithm in Stochastic Environments**
In *Proceedings of the Tenth European Workshop on Reinforcement Learning *, pages: 103-116, (Editors: MP Deisenroth and C Szepesvári and J Peters), JMLR, EWRL, 2013 (inproceedings)

**Gaussian Process Vine Copulas for Multivariate Dependence**
International Conference on Machine Learning (ICML), 2013 (poster)

**Domain adaptation under Target and Conditional Shift**
In *Proceedings of the 30th International Conference on Machine Learning, W&CP 28 (3)*, pages: 819–827, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 (inproceedings)

**From Ordinary Differential Equations to Structural Causal Models: the deterministic case **
In *Proceedings of the Twenty-Ninth Conference Annual Conference on Uncertainty in Artificial Intelligence*, pages: 440-448, (Editors: A Nicholson and P Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 (inproceedings)

**A machine learning approach for non-blind image deconvolution**
In *IEEE Conference on Computer Vision and Pattern Recognition*, pages: 1067-1074, IEEE, CVPR, 2013 (inproceedings)

**Domain Generalization via Invariant Feature Representation**
30th International Conference on Machine Learning (ICML2013), 2013 (poster)

**When luminance increment thresholds depend on apparent lightness**
*Journal of Vision*, 13(6):1-11, 2013 (article)

**Autonomous Reinforcement Learning with Hierarchical REPS**
In *Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013)*, pages: 1-8, 2013 (inproceedings)

**Efficient network-guided multi-locus association mapping with graph cuts**
*Bioinformatics*, 29(13):i171-i179, 2013 (article)

**Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry**
In *Information Processing in Medical Imaging*, pages: 171-183, (Editors: JC Gee and S Joshi and KM Pohl and WM Wells and L Zöllei), Springer, Berlin Heidelberg, 23rd International Conference on Information Processing in Medical Imaging (IPMI), 2013, Lecture Notes in Computer Science, Vol. 7017 (inproceedings)

**On estimation of functional causal models: Post-nonlinear causal model as an example**
In *First IEEE ICDM workshop on causal discovery *, 2013, Held in conjunction with the 12th IEEE International Conference on Data Mining (ICDM 2013) (inproceedings)

**Object Modeling and Segmentation by Robot Interaction with Cluttered Environments**
In *Proceedings of the IEEE International Conference on Humanoid Robots (HUMANOIDS)*, pages: 169-176, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 (inproceedings)

**Reflection methods for user-friendly submodular optimization**
In *Advances in Neural Information Processing Systems 26*, pages: 1313-1321, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Semi-supervised learning in causal and anticausal settings**
In *Empirical Inference*, pages: 129-141, 13, Festschrift in Honor of Vladimir Vapnik, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex**
Bernstein Conference, 2013 (poster)

**On Flat versus Hierarchical Classification in Large-Scale Taxonomies**
In *Advances in Neural Information Processing Systems 26*, pages: 1824-1832, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Quantifying causal influences**
*Annals of Statistics*, 41(5):2324-2358, 2013 (article)

**Probabilistic movement modeling for intention inference in human-robot interaction
**
*International Journal of Robotics Research*, 32(7):841-858, 2013 (article)

**Blind Retrospective Motion Correction of MR Images**
*Magnetic Resonance in Medicine (MRM)*, 70(6):1608–1618, 2013 (article)

**Modeling fixation locations using spatial point processes**
*Journal of Vision*, 13(12):1-34, 2013 (article)

**Tractable large-scale optimization in machine learning**
In *Tractability: Practical Approaches to Hard Problems*, pages: 202-230, 7, (Editors: Bordeaux, L., Hamadi , Y., Kohli, P. and Mateescu, R. ), Cambridge University Press , 2013 (inbook)

**A probabilistic model for secondary structure prediction from protein chemical shifts**
*Proteins: Structure, Function, and Bioinformatics*, 81(6):984–993, 2013 (article)

**Climate Extremes and the Carbon Cycle**
*Nature*, 500, pages: 287-295, 2013 (article)

**Data-Efficient Generalization of Robot Skills with Contextual Policy Search**
In *Proceedings of the 27th National Conference on Artificial Intelligence (AAAI 2013)*, (Editors: desJardins, M. and Littman, M. L.), AAAI Press, 2013 (inproceedings)

**One-class Support Measure Machines for Group Anomaly Detection**
In *Proceedings 29th Conference on Uncertainty in Artificial Intelligence (UAI)*, pages: 449-458, (Editors: Ann Nicholson and Padhraic Smyth), AUAI Press, Corvallis, Oregon, UAI, 2013 (inproceedings)

**Modeling Information Propagation with Survival Theory**
In *Proceedings of the 30th International Conference on Machine Learning, JMLR W&CP 28 (3)*, pages: 666-674, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013 (inproceedings)

**How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data**
In *Proceedings of the 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI)*, pages: 102-105, IEEE Xplore Digital Library, PRNI, 2013 (inproceedings)

**Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders **
In *Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI)*, pages: 556-565, (Editors: A Nicholson and P Smyth), AUAI Press Corvallis, Oregon, USA, UAI, 2013 (inproceedings)

**Improving alpha matting and motion blurred foreground estimation**
In *IEEE Conference on Image Processing (ICIP)*, pages: 3446-3450, IEEE, ICIP, 2013 (inproceedings)

**One-class Support Measure Machines for Group Anomaly Detection**
29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013 (poster)

**Identification of stimulus cues in narrow-band tone-in-noise detection using sparse observer models**
*Journal of the Acoustical Society of America*, 134(1):447-463, 2013 (article)

**Probabilistic Model-based Imitation Learning**
*Adaptive Behavior Journal*, 21(5):388-403, 2013 (article)

**Towards Robot Skill Learning: From Simple Skills to Table Tennis**
In *Machine Learning and Knowledge Discovery in Databases, Proceedings of the European Conference on Machine Learning, Part III (ECML 2013)*, LNCS 8190, pages: 627-631, (Editors: Blockeel, H.,Kersting, K., Nijssen, S., and Zelezný, F.), Springer, 2013 (inproceedings)

**Nonparametric dynamics estimation for time periodic systems**
In *Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing*, pages: 486-493 , 2013 (inproceedings)

**Scalable kernels for graphs with continuous attributes**
In *Advances in Neural Information Processing Systems 26*, pages: 216-224, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**The Randomized Dependence Coefficient**
Neural Information Processing Systems (NIPS), 2013 (poster)

**Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus**
4th German Neurophysiology PhD Meeting Networks, 2013 (poster)

**Auto-Calibrating Spherical Deconvolution Based on ODF Sparsity**
In *Proceedings of Medical Image Computing and Computer-Assisted Intervention, Part I*, pages: 663-670, (Editors: K Mori and I Sakuma and Y Sato and C Barillot and N Navab), Springer, MICCAI, 2013, Lecture Notes in Computer Science, vol. 8149 (inproceedings)

**Maximum-Margin Framework for Training Data Synchronization in Large-Scale Hierarchical Classification**
In *Neural Information Processing - 20th International Conference, Proceedings, Part I, Lecture Notes in Computer Science, Vol. 8226*, pages: 336-343, (Editors: M Lee and A Hirose and Z-G Hou and R M Kil), Springer, ICONIP, 2013 (inproceedings)

**Metabolic cost as an organizing principle for cooperative learning**
*Advances in Complex Systems*, 16(02n03):1350012, 2013 (article)

**Domain Generalization via Invariant Feature Representation**
In *Proceedings of the 30th International Conference on Machine Learning, W&CP 28(1)*, pages: 10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Volume 28, number 1 (inproceedings)

**MR-based PET Attenuation Correction for PET/MR Imaging**
*Seminars in Nuclear Medicine*, 43(1):45-59, 2013 (article)

**MR-based Attenuation Correction Methods for Improved PET Quantification in Lesions within Bone and Susceptibility Artifact Regions
**
*Journal of Nuclear Medicine*, 54(10):1768-1774, 2013 (article)

**Learning Sequential Motor Tasks**
In *Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013)*, 2013 (inproceedings)

**Learning output kernels for multi-task problems**
*Neurocomputing*, 118, pages: 119-126, 2013 (article)