@article{marco2021robot, title = {Robot Learning with Crash Constraints}, author = {Marco, A. and Baumann, D. and Khadiv, M. and Hennig, P. and Righetti, L. and Trimpe, S.}, journal = { IEEE Robotics and Automation Letters}, volume = {6}, number = {2}, pages = {1439--1446}, publisher = {IEEE}, month = feb, year = {2021}, doi = {10.1109/LRA.2021.3057055}, url = {https://ieeexplore.ieee.org/document/9345965}, month_numeric = {2} } @article{KerSulHen20, title = {Convergence rates of Gaussian {ODE} filters}, author = {Kersting, H. and Sullivan, T. J. and Hennig, P.}, journal = {Statistics and Computing}, volume = {30}, number = {6}, pages = {1791--1816}, year = {2020}, doi = {10.1007/s11222-020-09972-4} } @article{WahHenWieBan20, title = {Analytical probabilistic modeling of dose-volume histograms}, author = {Wahl, N. and Hennig, P. and Wieser, H.-P. and Bangert, M.}, journal = {Medical Physics}, volume = {47}, number = {10}, pages = {5260--5273}, year = {2020}, doi = {10.1002/mp.14414} } @conference{KunHenBal19, title = {Limitations of the empirical Fisher approximation for natural gradient descent}, author = {Kunstner, F. and Hennig, P. and Balles, L.}, booktitle = {Advances in Neural Information Processing Systems 32 (NeurIPS 2019)}, pages = {4158--4169}, editors = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d'Alch\'{e}-Buc and E. Fox and R. Garnett}, publisher = {Curran Associates, Inc.}, month = dec, year = {2019}, doi = {}, url = {https://papers.nips.cc/paper/8669-limitations-of-the-empirical-fisher-approximation-for-natural-gradient-descent}, month_numeric = {12} } @conference{KanHen19, title = {Convergence Guarantees for Adaptive Bayesian Quadrature Methods}, author = {Kanagawa, M. and Hennig, P.}, booktitle = {Advances in Neural Information Processing Systems 32 (NeurIPS 2019)}, pages = {6234--6245}, editors = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d'Alch\'{e}-Buc and E. Fox and R. Garnett}, publisher = {Curran Associates, Inc.}, month = dec, year = {2019}, doi = {}, url = {https://papers.nips.cc/paper/8854-convergence-guarantees-for-adaptive-bayesian-quadrature-methods}, month_numeric = {12} } @article{Tronarp18, title = {Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective}, author = {Tronarp, F. and Kersting, H. and S{\"a}rkk{\"a}, S. and Hennig, P.}, journal = {Statistics and Computing}, volume = {29}, number = {6}, pages = {1297--1315}, year = {2019}, doi = {10.1007/s11222-019-09900-1}, url = {https://arxiv.org/abs/1810.03440} } @conference{SchBalHen19, title = {DeepOBS: A Deep Learning Optimizer Benchmark Suite}, author = {Schneider, F. and Balles, L. and Hennig, P.}, booktitle = {7th International Conference on Learning Representations (ICLR)}, month = may, year = {2019}, doi = {}, url = {https://openreview.net/pdf?id=rJg6ssC5Y7}, month_numeric = {5} } @conference{deroos2019active, title = {Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization}, author = {de Roos, F. and Hennig, P.}, booktitle = {Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)}, volume = {89}, pages = {1448--1457}, editors = {Kamalika Chaudhuri and Masashi Sugiyama}, publisher = {PMLR}, month = apr, year = {2019}, doi = {}, url = {https://arxiv.org/abs/1902.07557}, month_numeric = {4} } @conference{ArvHauHenSch19, title = {Fast and Robust Shortest Paths on Manifolds Learned from Data}, author = {Arvanitidis, G. and Hauberg, S. and Hennig, P. and Schober, M.}, booktitle = {Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)}, volume = {89}, pages = {1506--1515}, editors = {Kamalika Chaudhuri and Masashi Sugiyama}, publisher = {PMLR}, month = apr, year = {2019}, doi = {}, url = {http://proceedings.mlr.press/v89/}, month_numeric = {4} } @article{TroKerSarHen19, title = {Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective}, author = {Tronarp, F. and Kersting, H. and S{\"a}rkk{\"a}, S.and Hennig P.}, journal = {Statistics and Computing}, volume = {29}, number = {6}, pages = {1297--1315}, year = {2019}, doi = {10.1007/s11222-019-09900-1} } @article{Mottaetal19, title = {Dense connectomic reconstruction in layer 4 of the somatosensory cortex}, author = {Motta, A. and Berning, M. and Boergens, K. M. and Staffler, B. and Beining, M. and Loomba, S. and Hennig, P. and Wissler, H. and Helmstaedter, M.}, journal = {Science}, volume = {366}, number = {6469}, pages = {eaay3134}, year = {2019}, doi = {10.1126/science.aay3134} } @article{bartels2019unifying, title = {Probabilistic Linear Solvers: A Unifying View}, author = {Bartels, S. and Cockayne, J. and Ipsen, I.C.F. and Hennig, P.}, journal = {Statistics and Computing}, volume = {29}, number = {6}, pages = {1249--1263}, year = {2019}, doi = {10.1007/s11222-019-09897-7}, url = {https://arxiv.org/abs/1810.03398} } @conference{balles2018dissecting, title = {Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients}, author = {Balles, L. and Hennig, P.}, booktitle = {Proceedings of the 35th International Conference on Machine Learning (ICML)}, volume = {80}, pages = {404--413}, series = {Proceedings of Machine Learning Research}, editors = {Jennifer Dy and Andreas Krause}, publisher = {PMLR}, month = jul, year = {2018}, doi = {}, url = {http://proceedings.mlr.press/v80/balles18a.html}, month_numeric = {7} } @article{KerstingSullivanHennig18, title = {Convergence Rates of Gaussian ODE Filters}, author = {Kersting, Hans and Sullivan, T. J. and Hennig, Philipp}, journal = {arXiv preprint 2018}, volume = {arXiv:1807.09737 [math.NA]}, month = jul, year = {2018}, doi = {}, url = {http://arxiv.org/abs/1807.09737}, month_numeric = {7} } @article{KanHenSejSri18, title = {Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences}, author = {Kanagawa, M. and Hennig, P. and Sejdinovic, D. and Sriperumbudur, B. K.}, journal = {Arxiv e-prints}, volume = {arXiv:1805.08845v1 [stat.ML]}, year = {2018}, doi = {} } @article{SchoberSarkkaHennig2018, title = {A probabilistic model for the numerical solution of initial value problems}, author = {Schober, M. and S{\"a}rkk{\"a}, S. and Hennig, P.}, journal = {Statistics and Computing}, volume = {29}, number = {1}, pages = {99–122}, year = {2018}, doi = {10.1007/s11222-017-9798-7} } @article{WahlHennigWieserBangert2017, title = {Analytical incorporation of fractionation effects in probabilistic treatment planning for intensity-modulated proton therapy}, author = {Wahl, Niklas and Hennig, Philipp and Wieser, Hans-Peter and Bangert, Mark}, journal = {Medical Physics}, volume = {45}, number = {4}, pages = {1317--1328}, year = {2018}, doi = {10.1002/mp.12775} } @conference{MaHeScTr17, title = {On the Design of {LQR} Kernels for Efficient Controller Learning}, author = {Marco, Alonso and Hennig, Philipp and Schaal, Stefan and Trimpe, Sebastian}, booktitle = {Proceedings of the 56th IEEE Annual Conference on Decision and Control (CDC)}, pages = {5193--5200}, publisher = {IEEE}, month = dec, year = {2017}, doi = {10.1109/CDC.2017.8264429}, month_numeric = {12} } @article{MahHenprobLS, title = {Probabilistic Line Searches for Stochastic Optimization}, author = {Mahsereci, M. and Hennig, P.}, journal = {Journal of Machine Learning Research}, volume = {18}, number = {119}, pages = {1-59}, month = nov, year = {2017}, doi = {}, eprint = {jmlr paper 17-049}, url = {http://jmlr.org/papers/v18/17-049.html}, month_numeric = {11} } @inproceedings{balles2017coupling, title = {Coupling Adaptive Batch Sizes with Learning Rates}, author = {Balles, L. and Romero, J. and Hennig, P.}, booktitle = {Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI)}, pages = {ID 141}, editors = {Gal Elidan, Kristian Kersting, and Alexander T. Ihler}, month = aug, year = {2017}, doi = {}, url = {http://auai.org/uai2017/proceedings/papers/141.pdf}, month_numeric = {8} } @inproceedings{marco_ICRA_2017, title = {Virtual vs. {R}eal: Trading Off Simulations and Physical Experiments in Reinforcement Learning with {B}ayesian Optimization}, author = {Marco, A. and Berkenkamp, F. and Hennig, P. and Schoellig, A. P. and Krause, A. and Schaal, S. and Trimpe, S.}, booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)}, pages = {1557-1563}, publisher = {IEEE}, address = {Piscataway, NJ, USA}, month = may, year = {2017}, doi = {10.1109/ICRA.2017.7989186}, month_numeric = {5} } @conference{Klein17, title = {Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets}, author = {Klein, A. and Falkner, S. and Bartels, S. and Hennig, P. and Hutter, F.}, booktitle = {Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS)}, volume = {54}, pages = {528--536}, series = {Proceedings of Machine Learning Research}, editors = {Sign, Aarti and Zhu, Jerry}, publisher = {PMLR}, month = apr, year = {2017}, doi = {}, url = {http://proceedings.mlr.press/v54/klein17a.html}, month_numeric = {4} } @article{Mahsereci:EarlyStopping:2017, title = {Early Stopping Without a Validation Set}, author = {Mahsereci, Maren and Balles, Lukas and Lassner, Christoph and Hennig, Philipp}, journal = {arXiv preprint arXiv:1703.09580}, year = {2017}, doi = {}, url = {https://arxiv.org/abs/1703.09580} } @article{deroos2017krylov, title = {Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning}, author = {de Roos, Filip and Hennig, Philipp}, journal = {arXiv preprint arXiv:1706.00241}, year = {2017}, doi = {}, url = {https://arxiv.org/abs/1706.00241} } @article{klein2019fabolos, title = {Fast Bayesian hyperparameter optimization on large datasets}, author = {Klein, A. and Falkner, S. and Bartels, S. and Hennig, P. and Hutter, F.}, journal = {Electronic Journal of Statistics}, volume = {11}, year = {2017}, doi = {} } @misc{RubTolHenSch17, title = {Probabilistic Active Learning of Functions in Structural Causal Models}, author = {Rubenstein, P. K. and Tolstikhin, I. and Hennig, P. and Sch{\"o}lkopf, B.}, year = {2017}, doi = {} } @article{GreHenRasSch17, title = {New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481)}, author = {Gretton, A. and Hennig, P. and Rasmussen, C.E. and Sch{\"o}lkopf, B.}, journal = {Dagstuhl Reports}, volume = {6}, number = {11}, pages = {142--167}, year = {2017}, doi = {10.4230/DagRep.6.11.142} } @article{0031-9155-62-14-5790, title = {Efficiency of analytical and sampling-based uncertainty propagation in intensity-modulated proton therapy}, author = {Wahl, N and Hennig, P and Wieser, H P and Bangert, M}, journal = {Physics in Medicine & Biology}, volume = {62}, number = {14}, pages = {5790--5807}, year = {2017}, doi = {}, url = {http://stacks.iop.org/0031-9155/62/i=14/a=5790} } @article{WieserHennigWahlBangert2017, title = {Analytical probabilistic modeling of RBE-weighted dose for ion therapy}, author = {Wieser, Hans-Peter and Hennig, Philipp and Wahl, Niklas and Bangert, Mark}, journal = {Physics in Medicine and Biology (PMB)}, volume = {62}, number = {23}, pages = {8959--8982}, year = {2017}, doi = {}, url = {http://iopscience.iop.org/article/10.1088/1361-6560/aa915d} } @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}, doi = {10.1109/ECC.2016.7810387}, month_numeric = {6} } @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)}, pages = {309--318}, editors = {Ihler, Alexander T. and Janzing, Dominik}, month = jun, year = {2016}, doi = {}, url = {http://www.auai.org/uai2016/proceedings/papers/163.pdf}, month_numeric = {6} } @inproceedings{marco_ICRA_2016, title = {Automatic LQR Tuning Based on Gaussian 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)}, pages = {270--277}, publisher = {IEEE}, month = may, year = {2016}, doi = {10.1109/ICRA.2016.7487144}, month_numeric = {5} } @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)}, volume = {51}, pages = {648--657}, series = {JMLR Workshop and Conference Proceedings}, editors = {Gretton, A. and Robert, C. C.}, month = may, year = {2016}, doi = {}, url = { http://jmlr.org/proceedings/papers/v51/gonzalez16a.pdf}, month_numeric = {5} } @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)}, volume = {51}, pages = {676--684}, series = {JMLR Workshop and Conference Proceedings}, editors = {Gretton, A. and Robert, C. C. }, month = may, year = {2016}, doi = {}, url = {http://jmlr.org/proceedings/papers/v51/bartels16.html}, month_numeric = {5} } @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}, doi = {10.1109/TCST.2015.2420629} } @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}, doi = {}, url = {http://jmlr.org/papers/v17/15-162.html} } @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 (iROS)}, pages = { }, publisher = { }, month = oct, year = {2015}, doi = { }, month_numeric = {10} } @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}, doi = {10.1137/140955501}, url = {http://epubs.siam.org/toc/sjope8/25/1} } @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}, doi = {} } @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}, doi = {}, url = {http://papers.nips.cc/paper/5753-probabilistic-line-searches-for-stochastic-optimization.pdf} } @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}, doi = {10.1007/978-3-319-24553-9_73} } @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}, doi = {10.1098/rspa.2015.0142} } @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}, doi = {10.1007/978-3-319-11752-2_26}, 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}, doi = {}, 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}, doi = {}, 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}, doi = {}, 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}, doi = {} } @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}, doi = {10.1007/978-3-319-10443-0_34} } @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}, doi = {}, 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}, doi = {}, 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}, doi = {10.1109/IROS.2014.6942865}, url = {http://www-clmc.usc.edu/publications/M/meier-IROS2014.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}, doi = {}, 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}, doi = {} } @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}, doi = {} } @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}, doi = {10.1109/Allerton.2013.6736564 } } @poster{LopezPazHS2013, title = {The Randomized Dependence Coefficient}, author = {Lopez-Paz, D. and Hennig, P. and Sch{\"o}lkopf, B.}, year = {2013}, doi = {} } @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}, doi = {10.1088/0031-9155/58/16/5401} } @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}, doi = {} } @techreport{Hennig2013, title = {Animating Samples from Gaussian Distributions}, author = {Hennig, P.}, number = {8}, institution = {Max Planck Institute for Intelligent Systems, Tübingen, Germany}, year = {2013}, doi = {} } @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}, doi = {}, url = {http://www.is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/2012/Hennig_Kiefel_ICML2012.pdf}, month_numeric = {7} } @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}, doi = {}, month_numeric = {6} } @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}, doi = {10.1109/ICRA.2012.6224831}, month_numeric = {5} } @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}, doi = {}, month_numeric = {1} } @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}, doi = {} } @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}, doi = {} } @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}, doi = {10.1109/ICMLA.2010.114 }, month_numeric = {12} } @phdthesis{Hennig2010, title = {Approximate Inference in Graphical Models}, author = {Hennig, P.}, institution = {University of Cambridge}, month = nov, year = {2010}, doi = {}, month_numeric = {11} } @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}, doi = {}, month_numeric = {5} } @poster{HennigSG2009, title = {Bayesian Quadratic Reinforcement Learning}, author = {Hennig, P. and Stern, D. and Graepel, T.}, month = dec, year = {2009}, doi = {}, month_numeric = {12} } @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}, doi = {}, month_numeric = {7} } @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}, doi = {10.1063/1.2817591}, month_numeric = {12} }