730ce0ae730f39e4d77b0f04a8afe4be-Supplemental-Conference.pdf

Neural Information Processing Systems 

This paper studies the use of a machine learning-based estimator as a control variate for mitigating the variance of Monte Carlo sampling. Specifically, we seek to uncover the key factors that influence the efficiency of control variates in reducing variance.

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