Heiko Strathmann
Heiko Strathmann
Research Scientist at Deepmind
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Optimal kernel choice for large-scale two-sample tests
A Gretton, D Sejdinovic, H Strathmann, S Balakrishnan, M Pontil, ...
Advances in neural information processing systems, 1205-1213, 2012
3752012
A kernel test of goodness of fit
K Chwialkowski, H Strathmann, A Gretton
International conference on machine learning, 2606-2615, 2016
1852016
Generative models and model criticism via optimized maximum mean discrepancy
DJ Sutherland, HY Tung, H Strathmann, S De, A Ramdas, A Smola, ...
arXiv preprint arXiv:1611.04488, 2016
992016
On Russian roulette estimates for Bayesian inference with doubly-intractable likelihoods
AM Lyne, M Girolami, Y Atchadé, H Strathmann, D Simpson
Statistical science 30 (4), 443-467, 2015
942015
Gradient-free Hamiltonian Monte Carlo with efficient kernel exponential families
H Strathmann, D Sejdinovic, S Livingstone, Z Szabo, A Gretton
arXiv preprint arXiv:1506.02564, 2015
702015
SOM-VAE: Interpretable discrete representation learning on time series
V Fortuin, M Hüser, F Locatello, H Strathmann, G Rätsch
arXiv preprint arXiv:1806.02199, 2018
612018
Soumyajit De, Aaditya Ramdas, Alex Smola, and Arthur Gretton. Generative models and model criticism via optimized maximum mean discrepancy
DJ Sutherland, HY Tung, H Strathmann
arXiv preprint arXiv:1611.04488 4, 2016
582016
Kernel adaptive metropolis-hastings
D Sejdinovic, H Strathmann, ML Garcia, C Andrieu, A Gretton
International conference on machine learning, 1665-1673, 2014
452014
Learning deep kernels for exponential family densities
L Wenliang, D Sutherland, H Strathmann, A Gretton
International Conference on Machine Learning, 6737-6746, 2019
332019
Escape from a Dominant HLA-B*15-Restricted CD8+ T Cell Response against Hepatitis C Virus Requires Compensatory Mutations outside the Epitope
M Ruhl, P Chhatwal, H Strathmann, T Kuntzen, D Bankwitz, K Skibbe, ...
Journal of virology 86 (2), 991-1000, 2012
212012
Efficient and principled score estimation with nyström kernel exponential families
D Sutherland, H Strathmann, M Arbel, A Gretton
International Conference on Artificial Intelligence and Statistics, 652-660, 2018
192018
Unbiased Bayes for big data: Paths of partial posteriors
H Strathmann, D Sejdinovic, M Girolami
arXiv preprint arXiv:1501.03326, 2015
182015
Playing Russian roulette with intractable likelihoods
M Girolami, AM Lyne, H Strathmann, D Simpson, Y Atchade
arXiv preprint arXiv:1306.4032, 2013
182013
Scalable gaussian processes on discrete domains
V Fortuin, G Dresdner, H Strathmann, G Rätsch
arXiv preprint arXiv:1810.10368, 2018
82018
Kernel sequential monte carlo
I Schuster, H Strathmann, B Paige, D Sejdinovic
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
62017
Nerf-vae: A geometry aware 3d scene generative model
AR Kosiorek, H Strathmann, D Zoran, P Moreno, R Schneider, S Mokrá, ...
arXiv preprint arXiv:2104.00587, 2021
42021
Meta-Learning Mean Functions for Gaussian Processes
V Fortuin, H Strathmann, G Rätsch
arXiv e-prints, arXiv: 1901.08098, 2019
42019
Efficient and principled score estimation
DJ Sutherland, H Strathmann, M Arbel, A Gretton
32017
Kernel methods for Monte Carlo
H Strathmann
UCL (University College London), 2018
22018
Adaptive Large-Scale Kernel Two-Sample Testing
H Strathmann
M. Sc. University College London.: http://herrstrathmann. de/wp-content …, 2012
22012
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