Share This Author
Batch Bayesian Optimization via Local Penalization
- Javier I. González, Zhenwen Dai, Philipp Hennig, Neil D. Lawrence
- Computer ScienceAISTATS
- 29 May 2015
TLDR
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
- Aaron Klein, S. Falkner, Simon Bartels, Philipp Hennig, F. Hutter
- Computer ScienceAISTATS
- 23 May 2016
TLDR
Entropy Search for Information-Efficient Global Optimization
- Philipp Hennig, Christian J. Schuler
- Computer ScienceJ. Mach. Learn. Res.
- 6 December 2011
TLDR
The Randomized Dependence Coefficient
- David Lopez-Paz, Philipp Hennig, B. Schölkopf
- Computer ScienceNIPS
- 29 April 2013
TLDR
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
- Motonobu Kanagawa, Philipp Hennig, D. Sejdinovic, Bharath K. Sriperumbudur
- Computer ScienceArXiv
- 6 July 2018
This paper is an attempt to bridge the conceptual gaps between researchers working on the two widely used approaches based on positive definite kernels: Bayesian learning or inference using Gaussian…
Probabilistic numerics and uncertainty in computations
- Philipp Hennig, Michael A. Osborne, M. Girolami
- Computer ScienceProceedings of the Royal Society A: Mathematical…
- 3 June 2015
TLDR
Probabilistic Line Searches for Stochastic Optimization
- Maren Mahsereci, Philipp Hennig
- Computer ScienceNIPS
- 10 February 2015
TLDR
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients
- Lukas Balles, Philipp Hennig
- Computer ScienceICML
- 22 May 2017
TLDR
Limitations of the empirical Fisher approximation for natural gradient descent
- Frederik Kunstner, Philipp Hennig, Lukas Balles
- Computer ScienceNeurIPS
- 29 May 2019
TLDR
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
- T. Gunter, Michael A. Osborne, R. Garnett, Philipp Hennig, S. Roberts
- Computer ScienceNIPS
- 3 November 2014
TLDR
...
...