2018
Mahsereci, M.
Probabilistic Approaches to Stochastic Optimization
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)
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)
2013
Lopez-Paz, D., Hennig, P., Schölkopf, B.
The Randomized Dependence Coefficient
Neural Information Processing Systems (NIPS), 2013 (poster)
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)