2018
Mahsereci, M.
Probabilistic Approaches to Stochastic Optimization
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)
Garreau, D., Jitkrittum, W., Kanagawa, M.
Large sample analysis of the median heuristic
2018 (misc) In preparation
Schober, M.
Probabilistic Ordinary Differential Equation Solvers — Theory and Applications
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)
2017
Klenske, E. D.
Nonparametric Disturbance Correction and Nonlinear Dual Control
(24098), ETH Zurich, 2017 (phdthesis)
2014
Meier, F., Hennig, P., Schaal, S.
Local Gaussian Regression
arXiv preprint, March 2014, clmc (misc)
2013
Lopez-Paz, D., Hennig, P., Schölkopf, B.
The Randomized Dependence Coefficient
Neural Information Processing Systems (NIPS), 2013 (poster)
Hennig, P.
Animating Samples from Gaussian Distributions
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)
2010
Hennig, P.
Approximate Inference in Graphical Models
University of Cambridge, November 2010 (phdthesis)
2009
Hennig, P., Stern, D., Graepel, T.
Bayesian Quadratic Reinforcement Learning
NIPS Workshop on Probabilistic Approaches for Robotics and Control, December 2009 (poster)
Hennig, P.
Expectation Propagation on the Maximum of Correlated Normal Variables
Cavendish Laboratory: University of Cambridge, July 2009 (techreport)