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Differentiating Metropolis-Hastings to Optimize Intractable Densities

Differentiating Metropolis-Hastings to Optimize Intractable Densities

13 June 2023
Gaurav Arya
Ruben Seyer
Frank Schafer
Kartik Chandra
Alexander K. Lew
Mathieu Huot
Vikash K. Mansinghka
Jonathan Ragan-Kelley
Chris Rackauckas
Moritz Schauer
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Papers citing "Differentiating Metropolis-Hastings to Optimize Intractable Densities"

3 / 3 papers shown
Title
Gradient Estimation via Differentiable Metropolis-Hastings
Gradient Estimation via Differentiable Metropolis-Hastings
Gaurav Arya
Moritz Schauer
Ruben Seyer
OT
BDL
35
0
0
20 Jun 2024
On Feynman--Kac training of partial Bayesian neural networks
On Feynman--Kac training of partial Bayesian neural networks
Zheng Zhao
Sebastian Mair
Thomas B. Schon
Jens Sjölund
25
0
0
30 Oct 2023
Branches of a Tree: Taking Derivatives of Programs with Discrete and
  Branching Randomness in High Energy Physics
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics
Michael Kagan
Lukas Heinrich
24
9
0
31 Aug 2023
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