@conference{Klein17,
title = {Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets},
author = {Klein, Aaron and Falkner, Stefan and Bartels, Simon and Hennig, Philipp and Hutter, Frank},
booktitle = {Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017)},
volume = {52},
series = {JMLR Workshop and Conference Proceedings},
editors = {Sign, Aarti and Zhu, Jerry},
year = {2017}
}
@inproceedings{marco_ICRA_2017,
title = {Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization},
author = {Marco, Alonso and Berkenkamp, Felix and Hennig, Philipp and Schoellig, Angela P. and Krause, Andreas and Schaal, Stefan and Trimpe, Sebastian},
booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
month = may,
year = {2017},
month_numeric = {5}
}
@inproceedings{KlenskeHSZ2016,
title = {Approximate dual control maintaining the value of information with an application to building control},
author = {Klenske, E. D. and Hennig, P. and Sch{\"o}lkopf, B. and Zeilinger, M. N.},
booktitle = {European Control Conference (ECC)},
pages = {800--806},
month = jun,
year = {2016},
month_numeric = {6}
}
@article{Balles2016cabs,
title = {Coupling Adaptive Batch Sizes with Learning Rates},
author = {Balles, Lukas and Romero, Javier and Hennig, Philipp},
journal = {arXiv preprint arXiv:1612.05086},
year = {2016},
url = {https://arxiv.org/abs/1612.05086}
}
@conference{GonDaiHenLaw16,
title = {Batch Bayesian Optimization via Local Penalization},
author = {González, J. and Dai, Z. and Hennig, P. and Lawrence, N.},
booktitle = {Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016)},
volume = {51},
pages = {648--657},
series = {JMLR Workshop and Conference Proceedings},
editors = {Gretton, A. and Robert, C. C.},
year = {2016},
url = { http://jmlr.org/proceedings/papers/v51/gonzalez16a.pdf}
}
@conference{KerHen16,
title = {Active Uncertainty Calibration in Bayesian ODE Solvers},
author = {Kersting, H. and Hennig, P.},
booktitle = {Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016)},
pages = {309--318},
editors = {Ihler, A. and Janzing, D.},
publisher = {{AUAI} Press},
year = {2016},
url = {http://www.auai.org/uai2016/proceedings/papers/163.pdf}
}
@conference{BarHen16,
title = {Probabilistic Approximate Least-Squares},
author = {Bartels, S. and Hennig, P.},
booktitle = {Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016)},
volume = {51},
pages = {676--684},
series = {JMLR Workshop and Conference Proceedings},
editors = {Gretton, A. and Robert, C. C. },
year = {2016},
url = {http://jmlr.org/proceedings/papers/v51/bartels16.html}
}
@inproceedings{marco_ICRA_2016,
title = {Automatic {LQR} Tuning Based on {G}aussian Process Global Optimization},
author = {Marco, Alonso and Hennig, Philipp and Bohg, Jeannette and Schaal, Stefan and Trimpe, Sebastian},
booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
month = may,
year = {2016},
month_numeric = {5}
}
@article{KleHen2015,
title = {Dual Control for Approximate Bayesian Reinforcement Learning},
author = {Klenske, E. D. and Hennig, P.},
journal = {Journal of Machine Learning Research},
volume = {17},
number = {127},
pages = {1--30},
year = {2016},
url = {http://jmlr.org/papers/v17/15-162.html}
}
@article{KleZeiSchHen16,
title = {Gaussian Process Based Predictive Control for Periodic Error Correction },
author = {Klenske, E. D. and Zeilinger, M. and Sch{\"o}lkopf, B. and Hennig, P.},
journal = {IEEE Transactions on Control Systems Technology },
volume = {24},
number = {1},
pages = {110--121},
year = {2016}
}
@inproceedings{MahHen2015,
title = {Probabilistic Line Searches for Stochastic Optimization},
author = {Mahsereci, M. and Hennig, P.},
booktitle = {Advances in Neural Information Processing Systems 28},
pages = {181--189},
editors = {C. Cortes, N.D. Lawrence, D.D. Lee, M. Sugiyama and R. Garnett},
publisher = {Curran Associates, Inc.},
year = {2015},
url = {http://papers.nips.cc/paper/5753-probabilistic-line-searches-for-stochastic-optimization.pdf}
}
@conference{marcoMLPC15,
title = {Automatic LQR Tuning Based on Gaussian Process Optimization: Early Experimental Results},
author = {Marco, Alonso and Hennig, Philipp and Bohg, Jeannette and Schaal, Stefan and Trimpe, Sebastian},
booktitle = {Machine Learning in Planning and Control of Robot Motion Workshop at the IEEE/RSJ International Conference on Intelligent Robots and Systems},
month = sep,
year = {2015},
month_numeric = {9}
}
@article{HenOsbGir15,
title = {Probabilistic numerics and uncertainty in computations},
author = {Hennig, P. and Osborne, M. A. and Girolami, M.},
journal = {Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences},
volume = {471},
number = {2179},
year = {2015}
}
@inproceedings{Haubergetal15,
title = {A Random Riemannian Metric for Probabilistic Shortest-Path Tractography},
author = {Hauberg, S. and Schober, M. and Liptrot, M. and Hennig, P. and Feragen, A.},
booktitle = {18th International Conference on Medical Image Computing and Computer Assisted Intervention},
volume = {9349},
pages = {597-604},
series = {Lecture Notes in Computer Science},
year = {2015}
}
@inproceedings{SgoJanHenSch15,
title = {Inference of Cause and Effect with Unsupervised Inverse Regression},
author = {Sgouritsa, E. and Janzing, D. and Hennig, P. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 18th International Conference on Artificial Intelligence and Statistics},
volume = {38},
pages = {847--855},
series = {JMLR Workshop and Conference Proceedings},
editors = {Lebanon, G. and Vishwanathan, S.V.N.},
publisher = {JMLR.org},
year = {2015}
}
@article{Hennig2015,
title = {Probabilistic Interpretation of Linear Solvers},
author = {Hennig, P.},
journal = {SIAM Journal on Optimization},
volume = {25},
number = {1},
pages = {234-260},
year = {2015},
url = {http://epubs.siam.org/toc/sjope8/25/1}
}
@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}
}
@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 = {},
crossref = {}
}
@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}
}
@misc{1402,
title = {Local Gaussian Regression},
author = {Meier, F. and Hennig, P. and Schaal, S.},
booktitle = {arXiv preprint},
month = mar,
year = {2014},
note = {},
crossref = {p10592},
url = {http://arxiv.org/abs/1402.0645},
month_numeric = {3}
}
@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 = {},
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 = {},
crossref = {p10593},
url = {http://www-clmc.usc.edu/publications/M/meier-IROS2014.pdf}
}
@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}
}
@article{hennig13,
title = {Quasi-Newton Methods: A New Direction},
author = {Hennig, Philipp and Kiefel, Martin},
journal = {Journal of Machine Learning Research},
volume = {14},
number = {1},
pages = {843--865},
month = mar,
year = {2013},
url = {http://www.jmlr.org/papers/volume14/hennig13a/hennig13a.pdf},
month_numeric = {3}
}
@inproceedings{LopezPazS2013,
title = {The Randomized Dependence Coefficient},
author = {Lopez-Paz, D. and Hennig, P. and Sch{\"o}lkopf, B.},
booktitle = {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},
year = {2013}
}
@inproceedings{Hennig2012,
title = {Fast Probabilistic Optimization from Noisy Gradients},
author = {Hennig, P.},
booktitle = {Proceedings of The 30th International Conference on Machine Learning, JMLR W\&CP 28(1)},
pages = {62–70},
editors = {S Dasgupta and D McAllester},
year = {2013}
}
@poster{LopezPazHS2013,
title = {The Randomized Dependence Coefficient},
author = {Lopez-Paz, D. and Hennig, P. and Sch{\"o}lkopf, B.},
year = {2013}
}
@inproceedings{KlenskeZSH2013,
title = {Nonparametric dynamics estimation for time periodic systems},
author = {Klenske, E. and Zeilinger, M. and Sch{\"o}lkopf, B. and Hennig, P.},
booktitle = {Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing},
pages = {486--493 },
year = {2013}
}
@article{BangertHO2013,
title = {Analytical probabilistic modeling for radiation therapy treatment planning},
author = {Bangert, M. and Hennig, P. and Oelfke, U.},
journal = {Physics in Medicine and Biology},
volume = {58},
number = {16},
pages = {5401-5419},
year = {2013}
}
@inproceedings{BangertHO2013_2,
title = {Analytical probabilistic proton dose calculation and range uncertainties},
author = {Bangert, M. and Hennig, P. and Oelfke, U.},
booktitle = {17th International Conference on the Use of Computers in Radiation Therapy},
pages = {6--11},
editors = {A. Haworth and T. Kron},
year = {2013}
}
@techreport{Hennig2013,
title = {Animating Samples from Gaussian Distributions},
author = {Hennig, P.},
number = {8},
institution = {Max Planck Institute for Intelligent Systems, Tübingen, Germany},
year = {2013}
}
@inproceedings{optimization,
title = {Quasi-Newton Methods: A New Direction},
author = {Hennig, Philipp and Kiefel, Martin},
booktitle = {Proceedings of the 29th International Conference on Machine Learning},
pages = {25--32},
series = {ICML '12},
editors = {John Langford and Joelle Pineau},
publisher = {Omnipress},
address = {New York, NY, USA},
month = jul,
year = {2012},
url = {http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2012/Hennig_Kiefel_ICML2012.pdf},
month_numeric = {7}
}
@inproceedings{HennigSHG2012,
title = {Kernel Topic Models},
author = {Hennig, P. and Stern, D. and Herbrich, R. and Graepel, T.},
booktitle = {Fifteenth International Conference on Artificial Intelligence and Statistics},
volume = {22},
pages = {511--519},
series = {JMLR Proceedings},
editors = {Lawrence, N. D. and Girolami, M.},
publisher = {JMLR.org},
year = {2012}
}
@inproceedings{CunninghamHL2012,
title = {Approximate Gaussian Integration using Expectation Propagation},
author = {Cunningham, JP. and Hennig, P. and Lacoste-Julien, S.},
pages = {1-11},
month = jan,
year = {2012},
month_numeric = {1}
}
@inproceedings{BocsiHCP2012,
title = {Learning Tracking Control with Forward Models},
author = {Bócsi, B. and Hennig, P. and Csató, L. and Peters, J.},
pages = {259 -264},
month = may,
year = {2012},
month_numeric = {5}
}
@article{HennigS2012,
title = {Entropy Search for Information-Efficient Global Optimization},
author = {Hennig, P. and Schuler, CJ.},
journal = {Journal of Machine Learning Research},
volume = {13},
pages = {1809-1837},
month = jun,
year = {2012},
month_numeric = {6}
}
@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}
}
@inproceedings{HennigSG2010,
title = {Coherent Inference on Optimal Play in Game Trees},
author = {Hennig, P. and Stern, D. and Graepel, T.},
booktitle = {JMLR Workshop and Conference Proceedings Volume 9: AISTATS 2010},
pages = {326-333},
editors = {Teh, Y.W. , M. Titterington },
publisher = {JMLR},
address = {Cambridge, MA, USA},
month = may,
year = {2010},
month_numeric = {5}
}
@inproceedings{BangertHO2010,
title = {Using an Infinite Von Mises-Fisher Mixture Model to Cluster Treatment Beam Directions in External Radiation Therapy },
author = {Bangert, M. and Hennig, P. and Oelfke, U.},
pages = {746-751 },
editors = {Draghici, S. , T.M. Khoshgoftaar, V. Palade, W. Pedrycz, M.A. Wani, X. Zhu},
publisher = {IEEE},
address = {Piscataway, NJ, USA},
month = dec,
year = {2010},
month_numeric = {12}
}
@phdthesis{Hennig2010,
title = {Approximate Inference in Graphical Models},
author = {Hennig, P.},
institution = {University of Cambridge},
month = nov,
year = {2010},
month_numeric = {11}
}
@techreport{Hennig2009,
title = {Expectation Propagation on the Maximum of Correlated Normal Variables},
author = {Hennig, P.},
institution = {Cavendish Laboratory: University of Cambridge},
month = jul,
year = {2009},
month_numeric = {7}
}
@poster{HennigSG2009,
title = {Bayesian Quadratic Reinforcement Learning},
author = {Hennig, P. and Stern, D. and Graepel, T.},
month = dec,
year = {2009},
month_numeric = {12}
}
@article{HennigD2007,
title = {Point-spread functions for backscattered imaging in the scanning electron microscope },
author = {Hennig, P. and Denk, W.},
journal = {Journal of Applied Physics },
volume = {102},
number = {12},
pages = {1-8},
month = dec,
year = {2007},
month_numeric = {12}
}