Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

ICLR 2018 Will GrathwohlDami ChoiYuhuai WuGeoffrey RoederDavid Duvenaud

Gradient-based optimization is the foundation of deep learning and reinforcement learning. Even when the mechanism being optimized is unknown or not differentiable, optimization using high-variance or biased gradient estimates is still often the best strategy... (read more)

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