256 results
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**Towards building a Crowd-Sourced Sky Map**
In *Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics*, JMLR W\&CP 33, pages: 549–557, (Editors: S. Kaski and J. Corander), JMLR.org, AISTATS, 2014 (inproceedings)

**Incremental Local Gaussian Regression**
In *Advances in Neural Information Processing Systems 27*, pages: 972-980, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014, clmc (inproceedings)

**Learning to Deblur**
In *NIPS 2014 Deep Learning and Representation Learning Workshop*, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Efficient Bayesian Local Model Learning for Control**
In *Proceedings of the IEEE International Conference on Intelligent Robots and Systems*, pages: 2244 - 2249, IROS, 2014, clmc (inproceedings)

**The sample complexity of agnostic learning under deterministic labels**
In *Proceedings of the 27th Conference on Learning Theory*, 35, pages: 527-542, (Editors: Balcan, M.-F. and Feldman, V. and Szepesvári, C.), JMLR, COLT, 2014 (inproceedings)

**Towards an optimal stochastic alternating direction method of multipliers**
*Proceedings of the 31st International Conference on Machine Learning*, 32, pages: 620-628, (Editors: Xing, E. P. and Jebara, T.), JMLR, ICML, 2014 (conference)

**Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem**
*Proceedings of the 27th Conference on Learning Theory*, 35, pages: 1276-1279, (Editors: Balcan, M.-F. and Szepesvári, C.), JMLR.org, COLT, 2014 (conference)

**Curiosity-driven learning with Context Tree Weighting**
pages: 366-367, IEEE, Piscataway, NJ, USA, 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB), October 2014 (conference)

**Monte Carlo methods for exact & efficient solution of the generalized optimality equations**
pages: 4322-4327, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), June 2014 (conference)

**Falsification and future performance**
In *Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence*, 7070, pages: 65-78, Lecture Notes in Computer Science, Springer, Berlin, Germany, Solomonoff 85th Memorial Conference, January 2013 (inproceedings)

**Feedback Error Learning for Rhythmic Motor Primitives**
In *Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013)*, pages: 1317-1322, 2013 (inproceedings)

**Gaussian Process Vine Copulas for Multivariate Dependence**
In *Proceedings of the 30th International Conference on Machine Learning, W&CP 28(2)*, pages: 10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Poster:
http://people.tuebingen.mpg.de/dlopez/papers/icml2013_gpvine_poster.pdf (inproceedings)

**A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs)**
In *Brain-Computer Interface Research*, pages: 39-51, 4, SpringerBriefs in Electrical and Computer Engineering, (Editors: Guger, C., Allison, B. Z. and Edlinger, G.), Springer, 2013 (inbook)

**The Randomized Dependence Coefficient**
In *Advances in Neural Information Processing Systems 26*, pages: 1-9, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit**
In *IEEE Conference on Computer Vision and Pattern Recognition*, pages: 1083-1090, IEEE, CVPR, 2013 (inproceedings)

**Output Kernel Learning Methods**
In *International Workshop on Advances in Regularization,
Optimization, Kernel Methods and Support Vector Machines: theory and applications*, ROKS, 2013 (inproceedings)

**Alignment-based Transfer Learning for Robot Models**
In *Proceedings of the 2013 International Joint Conference on Neural Networks (IJCNN 2013)*, pages: 1-7, 2013 (inproceedings)

**Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method**
In *13th International Conference on Data Mining*, pages: 1003-1008, (Editors: H. Xiong, G. Karypis, B. M. Thuraisingham, D. J. Cook and X. Wu), IEEE Computer Society, ICDM, 2013 (inproceedings)

**A probabilistic approach to robot trajectory generation**
In *Proceedings of the 13th IEEE International Conference on Humanoid Robots (HUMANOIDS)*, pages: 477-483, IEEE, 13th IEEE-RAS International Conference on Humanoid Robots, 2013 (inproceedings)

**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)

**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)

**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)

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

**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)

**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)

**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)

**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)

**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)

**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)

**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)

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

**Information-Theoretic Motor Skill Learning**
In *Proceedings of the 27th AAAI 2013, Workshop on Intelligent Robotic Systems (AAAI 2013)*, 2013 (inproceedings)

**Measuring Statistical Dependence via the Mutual Information Dimension**
In *Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)*, pages: 1692-1698, (Editors: Francesca Rossi), AAAI Press, Menlo Park, California, IJCAI, 2013 (inproceedings)

**Analytical probabilistic proton dose calculation and range uncertainties**
In *17th International Conference on the Use of Computers in Radiation Therapy*, pages: 6-11, (Editors: A. Haworth and T. Kron), ICCR, 2013 (inproceedings)