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docs/src/klminrepgraddescent.md

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@@ -63,7 +63,6 @@ where $$\epsilon_m \sim \varphi$$ are Monte Carlo samples.
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[^TL2014]: Titsias, M., & Lázaro-Gredilla, M. (2014). Doubly stochastic variational Bayes for non-conjugate inference. In *International Conference on Machine Learning*.
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[^RMW2014]: Rezende, D. J., Mohamed, S., & Wierstra, D. (2014). Stochastic backpropagation and approximate inference in deep generative models. In *International Conference on Machine Learning*.
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[^KW2014]: Kingma, D. P., & Welling, M. (2014). Auto-encoding variational bayes. In *International Conference on Learning Representations*.
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## [Entropy Gradient Estimators](@id entropygrad)
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For the gradient of the entropy term, we provide three choices with varying requirements.

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