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All publications by Philipp Hennig
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Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci and Philipp Hennig
Advances in Neural Information Processing Systems 28, 2015


Incremental Local Gaussian Regression
Franziska Meier, Philipp Hennig and Stefan Schaal
Advances in Neural Information Processing Systems 27, 2014


Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
Tom Gunter, Michael A. Osborne, Roman Garnett, Philipp Hennig and Stephen J. Roberts
Advances in Neural Information Processing Systems 27, 2014


Probabilistic ODE Solvers with Runge-Kutta Means
Michael Schober, David K. Duvenaud and Philipp Hennig
Advances in Neural Information Processing Systems 27, 2014


The Randomized Dependence Coefficient
David Lopez-paz, Philipp Hennig and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


Fast Probabilistic Optimization from Noisy Gradients
Philipp Hennig
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Quasi-Newton Methods: A New Direction
Philipp Hennig and Martin Kiefel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Kernel Topic Models
Philipp Hennig, David H. Stern, Ralf Herbrich and Thore Graepel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
Advances in Neural Information Processing Systems 24, 2011


Coherent Inference on Optimal Play in Game Trees
Philipp Hennig, David H. Stern and Thore Graepel
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010