Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution.
Johannes ZennRobert BamlerPublished in: CoRR (2024)
Keyphrases
- importance sampling
- jensen shannon divergence
- monte carlo
- information theory
- information theoretic
- kalman filter
- markov chain
- particle filtering
- particle filter
- approximate inference
- markov chain monte carlo
- feature selection
- objective function
- mutual information
- posterior distribution
- probability distribution
- graphical models
- computer vision
- decision trees