1399 results
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**Randomized Nonlinear Component Analysis**
In *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, pages: 1359-1367, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)

**Causal and Anti-Causal Learning in Pattern Recognition for Neuroimaging**
In *4th International Workshop on Pattern Recognition in Neuroimaging (PRNI)*, IEEE , PRNI, 2014 (inproceedings)

**Bayesian Gait Optimization for Bipedal Locomotion**
In *Proceedings of the 8th International Conference on Learning and Intelligent Optimization *, LNCS 8426, pages: 274-290, Lecture Notes in Computer Science, (Editors: Pardalos, PM., Resende, MGC., Vogiatzis, C., and Walteros, JL.), Springer, LION, 2014 (inproceedings)

**Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot**
In *Proceedings of the 13th International Conference on Intelligent Autonomous Systems*, 302, pages: 1601-1611, Advances in Intelligent Systems and Computing, (Editors: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H.), Springer, IAS, 2014 (inproceedings)

**Kernel Mean Estimation via Spectral Filtering**
In *Advances in Neural Information Processing Systems 27*, pages: 1-9, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Shaping Social Activity by Incentivizing Users**
In *Advances in Neural Information Processing Systems 27*, (Editors: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, ND., and Weinberger, KQ.), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Consistency of Causal Inference under the Additive Noise Model**
In *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, pages: 478-495, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)

**Active Learning of Linear Embeddings for Gaussian Processes**
In *Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence*, pages: 230-239, (Editors: NL Zhang and J Tian), AUAI Press , Corvallis, Oregon, UAI2014, 2014, another link: http://arxiv.org/abs/1310.6740 (inproceedings)

**Decoding Index Finger Position from EEG Using Random Forests**
In *4th International Workshop on Cognitive Information Processing (CIP)*, IEEE, CIP, 2014 (inproceedings)

**An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion**
In *Proceedings of 2014 IEEE International Conference on Robotics and Automation*, pages: 1951-1958, IEEE, ICRA, 2014 (inproceedings)

**Multi-Task Policy Search for Robotics**
In *Proceedings of 2014 IEEE International Conference on Robotics and Automation*, pages: 3876-3881, IEEE, ICRA, 2014 (inproceedings)

**Sample-Based Information-Theoretic Stochastic Optimal Control**
In *Proceedings of 2014 IEEE International Conference on Robotics and Automation*, pages: 3896-3902, IEEE, ICRA, 2014 (inproceedings)

**Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers**
In *Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Lecture Notes in Computer Science Vol. 8675*, pages: 265-272, (Editors: P. Golland, N. Hata, C. Barillot, J. Hornegger and R. Howe), Springer, Heidelberg, MICCAI, 2014 (inproceedings)

**Estimating Causal Effects by Bounding Confounding**
In *Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence *, pages: 240-249 , (Editors: Nevin L. Zhang and Jin Tian), AUAI Press Corvallis, Oregon , UAI, 2014 (inproceedings)

**Kernel Mean Estimation and Stein Effect**
In *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, pages: 10-18, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)

**Active Reward Learning**
In *Proceedings of Robotics: Science & Systems*, (Editors: Fox, D., Kavraki, LE., and Kurniawati, H.), RSS, 2014 (inproceedings)

**Multi-modal filtering for non-linear estimation**
In *Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing*, pages: 7979-7983, IEEE, ICASSP, 2014 (inproceedings)

**Inferring latent structures via information inequalities **
In *Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence*, pages: 112-121, (Editors: NL Zhang and J Tian), AUAI Press, Corvallis, Oregon, UAI, 2014 (inproceedings)

**Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems**
In *Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval*, pages: 1059-1062, (Editors: S Geva and A Trotman and P Bruza and CLA Clarke and K Järvelin), ACM, New York, NY, USA, SIGIR, 2014 (inproceedings)

**Policy Search For Learning Robot Control Using Sparse Data**
In *Proceedings of 2014 IEEE International Conference on Robotics and Automation*, pages: 3882-3887, IEEE, ICRA, 2014 (inproceedings)

**Learning to Unscrew a Light Bulb from Demonstrations**
In *Proceedings for the joint conference of ISR 2014, 45th International Symposium on Robotics and Robotik 2014*, 2014 (inproceedings)

**Towards Neurofeedback Training of Associative Brain Areas for Stroke Rehabilitation**
In *Proceedings of the 6th International Brain-Computer Interface Conference*, (Editors: G Müller-Putz and G Bauernfeind and C Brunner and D Steyrl and S Wriessnegger and R Scherer), 2014 (inproceedings)

**Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature**
In *Advances in Neural Information Processing Systems 27*, pages: 2789-2797, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Scalable Kernel Methods via Doubly Stochastic Gradients**
*Advances in Neural Information Processing Systems 27*, pages: 3041-3049, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (conference)

**Learning Economic Parameters from Revealed Preferences**
In *Web and Internet Economics - 10th International Conference*, 8877, pages: 338-353, Lecture Notes in Computer Science, (Editors: Liu, T.-Y. and Qi, Q. and Ye, Y.), WINE, 2014 (inproceedings)

**Fast Newton methods for the group fused lasso**
In *Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence*, pages: 888-897, (Editors: Zhang, N. L. and Tian, J.), AUAI Press, UAI, 2014 (inproceedings)

**Mind the Gap: Subspace based Hierarchical Domain Adaptation**
*Transfer and Multi-task learning Workshop in Advances in Neural Information System Conference 27*, 2014 (conference)

**Localized Complexities for Transductive Learning**
In *Proceedings of the 27th Conference on Learning Theory*, 35, pages: 857-884, (Editors: Balcan, M.-F. and Feldman, V. and Szepesvári, C.), JMLR, COLT, 2014 (inproceedings)

**Efficient Structured Matrix Rank Minimization**
*Advances in Neural Information Processing Systems 27*, pages: 1350-1358, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (conference)

**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)

**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)