Differentiable Annealed Importance Sampling and the Perils of Gradient Noise.

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

Published in: NeurIPS (2021)

Keyphrases

importance sampling
monte carlo
markov chain
particle filtering
particle filter
kalman filter
objective function
signal to noise ratio
edge detection
markov chain monte carlo
approximate inference
noise level
posterior distribution
visual tracking
missing data
noise reduction
graphical models
variance reduction