Monte Carlo methods are a cornerstone of computational science, relying on random sampling to estimate quantities that are analytically intractable. A central challenge is the inherent variance of ...
Black-box stochastic optimization involves sampling in both the solution and data spaces. Traditional variance reduction methods mainly designed for reducing the data sampling noise may suffer from ...
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