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Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon
  Divergence Between Initial and Target Distribution

Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution

23 May 2024
Johannes Zenn
Robert Bamler
ArXivPDFHTML

Papers citing "Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution"

3 / 3 papers shown
Title
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo
  Samplers
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers
Johannes Zenn
Robert Bamler
27
3
0
27 Apr 2023
Improving Mutual Information Estimation with Annealed and Energy-Based
  Bounds
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
Rob Brekelmans
Sicong Huang
Marzyeh Ghassemi
Greg Ver Steeg
Roger C. Grosse
Alireza Makhzani
27
15
0
13 Mar 2023
Markovian Score Climbing: Variational Inference with KL(p||q)
Markovian Score Climbing: Variational Inference with KL(p||q)
C. A. Naesseth
Fredrik Lindsten
David M. Blei
108
54
0
23 Mar 2020
1