Sensitivity analysis of discrete event systems by the “push out” method

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Lifelong Generative Modeling (2017, methodology): “This typically takes place through the use of the path-wise estimator [101, 63] (originally called “push-out” [106]).”
Optimization of computer simulation models with rare events (1997, methodology): “Although the \push-out" has been recently applied in optimization context to a broad variety of queueing, inventory and insurance risk models [5], [22], [25], one has to take into account that it is model dependent and requires some skill.”
Monte Carlo Gradient Estimation in Machine Learning (2019, methodology): “The view as a push-in technique is expanded on by Rubinstein (1992).”