Differentiable Annealed Importance Sampling and the Perils of Gradient Noise.

Guodong Zhang Kyle Hsu Jianing Li Chelsea Finn Roger B. Grosse

Published in: CoRR (2021)

Keyphrases

importance sampling
monte carlo
markov chain
kalman filter
particle filter
particle filtering
markov chain monte carlo
noise level
signal to noise ratio
approximate inference
missing data
variance reduction
objective function
noise reduction
closed form
computer vision
image segmentation