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Reducing reparameterization gradient variance
Andrew C. Miller
, Nicholas J. Foti
, Alexander D'Amour
,
Ryan P. Adams
Computer Science
Center for Statistics & Machine Learning
Princeton Language and Intelligence (PLI)
Research output
:
Contribution to journal
›
Conference article
›
peer-review
59
Scopus citations
Overview
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Dive into the research topics of 'Reducing reparameterization gradient variance'. Together they form a unique fingerprint.
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Mathematics
Variance
100%
Statistics
50%
Monte Carlo
50%
Random Variable
50%
Bayesian
50%
Hierarchical Model
50%
Control Variate
50%
Variance Reduction
50%
Neural Net
50%
Keyphrases
Gradient Variance
100%
Reparameterisation Gradient
100%
Reparameterization Trick
50%