@inproceedings{kiefel14gcpr,
title = {Probabilistic Progress Bars},
author = {Kiefel, Martin and Schuler, Christian and Hennig, Philipp},
booktitle = {Conference on Pattern Recognition (GCPR)},
volume = { 8753},
pages = {331--341},
series = {Lecture Notes in Computer Science},
editors = {Jiang, X., Hornegger, J., and Koch, R.},
publisher = {Springer},
month = sep,
year = {2014},
month_numeric = {9}
}
@inproceedings{hennig:aistats:2014,
title = {Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics},
author = {Hennig, Philipp and Hauberg, S{o}ren},
booktitle = {Proceedings of the 17th International Conference on Artificial Intelligence and Statistics},
volume = {33},
pages = {347-355},
series = {JMLR: Workshop and Conference Proceedings},
editors = { S Kaski and J Corander},
publisher = {Microtome Publishing},
address = {Brookline, MA},
month = apr,
year = {2014},
url = {http://jmlr.org/proceedings/papers/v33/hennig14.pdf},
month_numeric = {4}
}
@misc{1402,
title = {Local Gaussian Regression},
author = {Meier, F. and Hennig, P. and Schaal, S.},
booktitle = {arXiv preprint},
month = mar,
year = {2014},
note = {clmc},
crossref = {p10592},
url = {http://arxiv.org/abs/1402.0645},
month_numeric = {3}
}
@inproceedings{SchoberDH2014,
title = {Probabilistic {ODE} Solvers with Runge-Kutta Means},
author = {Schober, M. and Duvenaud, D. and Hennig, P.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {739-747},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
publisher = {Curran Associates, Inc.},
year = {2014},
url = {http://papers.nips.cc/paper/5451-probabilistic-ode-solvers-with-runge-kutta-means.pdf}
}
@inproceedings{GarnettOH2013,
title = {Active Learning of Linear Embeddings for Gaussian Processes},
author = {Garnett, R. and Osborne, M. and Hennig, P.},
booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence},
pages = {230-239},
editors = {NL Zhang and J Tian},
publisher = {AUAI Press },
address = {Corvallis, Oregon},
year = {2014},
note = {another link: http://arxiv.org/abs/1310.6740}
}
@inproceedings{SchoberKFHHNCJR2014,
title = {Probabilistic Shortest Path Tractography in DTI~Using Gaussian Process ODE Solvers},
author = {Schober, M. and Kasenburg, N. and Feragen, A. and Hennig, P. and Hauberg, S.},
booktitle = {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},
publisher = {Springer},
address = {Heidelberg},
year = {2014}
}
@inproceedings{GunterOGHR2014,
title = {Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature},
author = {Gunter, T. and Osborne, M. and Garnett, R. and Hennig, P. and Roberts, S.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {2789--2797},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
publisher = {Curran Associates, Inc.},
year = {2014},
url = {http://papers.nips.cc/paper/5483-sampling-for-inference-in-probabilistic-models-with-fast-bayesian-quadrature.pdf}
}
@inproceedings{5594incrementallocalgaussianregression,
title = {Incremental Local Gaussian Regression},
author = {Meier, F. and Hennig, P. and Schaal, S.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {972--980},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
year = {2014},
note = {clmc},
crossref = {p10612},
url = {http://papers.nips.cc/paper/5594-incremental-local-gaussian-regression}
}
@inproceedings{meierIROS2014,
title = {Efficient Bayesian Local Model Learning for Control},
author = {Meier, F. and Hennig, P. and Schaal, S.},
booktitle = {Proceedings of the IEEE International Conference on Intelligent Robots and Systems},
pages = {2244 - 2249},
year = {2014},
note = {clmc},
crossref = {p10593},
url = {http://www-clmc.usc.edu/publications/M/meier-IROS2014.pdf}
}
@inproceedings{Hennig2011,
title = {Optimal Reinforcement Learning for Gaussian Systems},
author = {Hennig, P.},
booktitle = {Advances in Neural Information Processing Systems 24},
pages = {325-333},
editors = {J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger},
year = {2011}
}