Heiko Strathmann
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Markov Chains and Monte Carlo Methods, Statistical Methods and Inference, Generative Adversarial Networks and Image Synthesis, Bayesian Methods and Mixture Models
Most-Cited Works
- Optimal kernel choice for large-scale two-sample tests(2012)
- 31st International Conference on Machine Learning, ICML 2014(2014)
- → Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy(2016)108 cited
- → A Kernel Test of Goodness of Fit(2016)102 cited
- → On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods(2015)99 cited
- SOM-VAE: Interpretable Discrete Representation Learning on Time Series(2018)
- → Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families(2015)33 cited
- → Kernel Adaptive Metropolis-Hastings(2013)26 cited