Michael Gutmann
Wednesday 8th November 2017
Time: 4.00pm
Ground Floor Seminar Room
25 Howland Street, London, W1T 4JG
Efficient Likelihood-Free Inference
We consider the problem of performing statistical inference when
evaluating the likelihood function is prohibitively costly but sampling
from the model is possible. Such inference problems occur in a wide
range of disciplines ranging from infectious disease epidemiology to
econometrics and computer vision. I give an overview of my work and then
explain how we can accelerate the inference substantially by combining
probabilistic modelling with decision making under uncertainty.
Reference paper:
http://jmlr.org/papers/v17/15-017.html