Estimating Gradients for Discrete Distributions

Abstract

We derive a low-variance, unbiased gradient estimator for expectations over discrete random variables based on sampling without replacement

Date
Location
ICLR 2020 Virtual
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Wouter Kool
Machine Learning & Optimization

Scientist & engineer with a PhD in machine learning and a passion for (combinatorial) optimization.