Michael U. Gutmann
Senior Lecturer in Machine Learning | Institute for Adaptive & Neural Computation | School of Informatics | University of Edinburgh
I have published on topics related to
- likelihood-free inference
- approximate Bayesian computation
- estimation of unnormalised models
- unsupervised machine learning
- natural image statistics
- computational neuroscience
- infectious disease epidemiology
News
| May 9, 2019 | Interested in a PhD in machine learning/AI and biomedicine? We are accepting applications to the Centre for Doctoral Training in Biomedical AI |
| May 8, 2019 | New paper on arXiv: Parallel Gaussian process surrogate method to accelerate likelihood-free inference |
| Apr 3, 2019 | New paper on arXiv: Robust Optimisation Monte Carlo |
| Mar 18, 2019 | Bayesian inference of atomistic structure in functional materials published in npj Computational Materials |
| Feb 26, 2019 |
Three papers at AISTATS 2019: Adaptive Gaussian Copula ABC, Efficient Bayesian Experimental Design for Implicit Models, Variational Noise-Contrastive Estimation |
| Oct 24, 2018 |
Three new papers on arXiv: Dynamic likelihood-free inference via ratio estimation, Efficient Bayesian Experimental Design for Implicit Models, Variational Noise-Contrastive Estimation |