ars-reparameterization
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Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
ars-reparameterization
This Git-repository includes source code to run experiments and generate figures for
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms.
Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, and David M. Blei
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics 2017,
Fort Lauderdale, Florida, USA.
other
Jupyter notebook to generate Figure 1 in the paper.
gamma
Jupyter notebooks to generate Figure 2 and 3.
dirichlet
Jupyter notebooks and Python code to run experiments for the Dirichlet-Multionomial example, as well as generating Figure 4.
sparse gamma def
Jupyter notebooks and Python code to run experiments for the Sparse Gamma DEF example. Also includes results and data used to generate Figure 5 and Table 1.