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Tronarp, F., Kersting, H., Särkkä, S., Hennig, P.
Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective
ArXiv preprint 2018, arXiv:1810.03440 [stat.ME], October 2018 (article)
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Kersting, H., Sullivan, T. J., Hennig, P.
Convergence Rates of Gaussian ODE Filters
arXiv preprint 2018, arXiv:1807.09737 [math.NA], July 2018 (article)
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Kanagawa, M., Hennig, P., Sejdinovic, D., Sriperumbudur, B. K.
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Arxiv e-prints, arXiv:1805.08845v1 [stat.ML], 2018 (article)
ei
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Muandet, K., Kanagawa, M., Saengkyongam, S., Marukata, S.
Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference
Arxiv e-prints, arXiv:1805.08845v1 [stat.ML], 2018 (article)
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Nishiyama, Y., Kanagawa, M., Gretton, A., Fukumizu, K.
Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models
Arxiv e-prints, arXiv:1409.5178v2 [stat.ML], 2018 (article)
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Schober, M., Särkkä, S., Philipp Hennig,
A probabilistic model for the numerical solution of initial value problems
Statistics and Computing, Springer US, 2018 (article)
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Wahl, N., Hennig, P., Wieser, H., Bangert, M.
Analytical incorporation of fractionation effects in probabilistic treatment planning for intensity-modulated proton therapy
Medical Physics, 2018 (article)
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Mahsereci, M., Hennig, P.
Probabilistic Line Searches for Stochastic Optimization
Journal of Machine Learning Research, 18(119):1-59, November 2017 (article)
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Kanagawa, M., Sriperumbudur, B. K., Fukumizu, K.
Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings
Arxiv e-prints, arXiv:1709.00147v1 [math.NA], 2017 (article)
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Mahsereci, M., Balles, L., Lassner, C., Hennig, P.
Early Stopping Without a Validation Set
arXiv preprint arXiv:1703.09580, 2017 (article)
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Roos, F. D., Hennig, P.
Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning
arXiv preprint arXiv:1706.00241, 2017 (article)
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Wahl, N., Hennig, P., Wieser, H. P., Bangert, M.
Efficiency of analytical and sampling-based uncertainty propagation in intensity-modulated proton therapy
Physics in Medicine & Biology, 62(14):5790-5807, 2017 (article)
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Wieser, H., Hennig, P., Wahl, N., Bangert, M.
Analytical probabilistic modeling of RBE-weighted dose for ion therapy
Physics in Medicine and Biology (PMB), 62(23):8959-8982, 2017 (article)
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Klenske, E. D., Zeilinger, M., Schölkopf, B., Hennig, P.
Gaussian Process-Based Predictive Control for Periodic Error Correction
IEEE Transactions on Control Systems Technology , 24(1):110-121, 2016 (article)
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Klenske, E. D., Hennig, P.
Dual Control for Approximate Bayesian Reinforcement Learning
Journal of Machine Learning Research, 17(127):1-30, 2016 (article)
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Hennig, P.
Probabilistic Interpretation of Linear Solvers
SIAM Journal on Optimization, 25(1):234-260, 2015 (article)
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Hennig, P., Osborne, M. A., Girolami, M.
Probabilistic numerics and uncertainty in computations
Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 471(2179), 2015 (article)
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Hennig, P., Kiefel, M.
Quasi-Newton Methods: A New Direction
Journal of Machine Learning Research, 14(1):843-865, March 2013 (article)
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Bangert, M., Hennig, P., Oelfke, U.
Analytical probabilistic modeling for radiation therapy treatment planning
Physics in Medicine and Biology, 58(16):5401-5419, 2013 (article)
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Hennig, P., Schuler, C.
Entropy Search for Information-Efficient Global Optimization
Journal of Machine Learning Research, 13, pages: 1809-1837, -, June 2012 (article)