Mahsereci, M. Probabilistic Approaches to Stochastic Optimization Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

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Schober, M. Probabilistic Ordinary Differential Equation Solvers — Theory and Applications Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)

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Klenske, E. D. Nonparametric Disturbance Correction and Nonlinear Dual Control (24098), ETH Zurich, 2017 (phdthesis)

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Lopez-Paz, D., Hennig, P., Schölkopf, B. The Randomized Dependence Coefficient Neural Information Processing Systems (NIPS), 2013 (poster)

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Hennig, P. Approximate Inference in Graphical Models University of Cambridge, November 2010 (phdthesis)

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Hennig, P., Stern, D., Graepel, T. Bayesian Quadratic Reinforcement Learning NIPS Workshop on Probabilistic Approaches for Robotics and Control, December 2009 (poster)

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