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Perceiving Systems Empirical Inference Probabilistic Numerics Conference Paper Probabilistic Progress Bars Kiefel, M., Schuler, C., Hennig, P. In Conference on Pattern Recognition (GCPR), 8753:331-341, Lecture Notes in Computer Science, (Editors: Jiang, X., Hornegger, J., and Koch, R.), Springer, GCPR, September 2014 website+code pdf DOI BibTeX
Perceiving Systems Empirical Inference Probabilistic Numerics Conference Paper Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics Hennig, P., Hauberg, S. In Proceedings of the 17th International Conference on Artificial Intelligence and Statistics, 33:347-355, JMLR: Workshop and Conference Proceedings, (Editors: S Kaski and J Corander), Microtome Publishing, Brookline, MA, AISTATS, April 2014 pdf Youtube Supplements BibTeX
Autonomous Motion Probabilistic Numerics Miscellaneous Local Gaussian Regression Meier, F., Hennig, P., Schaal, S. arXiv preprint, March 2014, clmc Web URL BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Active Learning of Linear Embeddings for Gaussian Processes Garnett, R., Osborne, M., Hennig, P. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, 230-239, (Editors: NL Zhang and J Tian), AUAI Press , Corvallis, Oregon, UAI2014, 2014, another link: http://arxiv.org/abs/1310.6740 PDF Web BibTeX
Autonomous Motion Empirical Inference Probabilistic Numerics Conference Paper Efficient Bayesian Local Model Learning for Control Meier, F., Hennig, P., Schaal, S. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems, 2244 - 2249, IROS, 2014, clmc PDF DOI URL BibTeX
Autonomous Motion Empirical Inference Probabilistic Numerics Conference Paper Incremental Local Gaussian Regression Meier, F., Hennig, P., Schaal, S. In Advances in Neural Information Processing Systems 27, 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), 2014, clmc PDF URL BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers Schober, M., Kasenburg, N., Feragen, A., Hennig, P., Hauberg, S. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Lecture Notes in Computer Science Vol. 8675, 265-272, (Editors: P. Golland, N. Hata, C. Barillot, J. Hornegger and R. Howe), Springer, Heidelberg, MICCAI, 2014 DOI BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Probabilistic ODE Solvers with Runge-Kutta Means Schober, M., Duvenaud, D., Hennig, P. In Advances in Neural Information Processing Systems 27, 739-747, (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), 2014 (Published) Web URL BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature Gunter, T., Osborne, M., Garnett, R., Hennig, P., Roberts, S. In Advances in Neural Information Processing Systems 27, 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), 2014 (Published) Web URL BibTeX