Introduces a Markovian stochastic approximation approach paired with unbiased estimators to solve conditional stochastic optimization problems where exact joint sampling of (X, Z) is impossible.
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Unbiased Gradients for a Class of Conditional Stochastic Optimization Problems
Introduces a Markovian stochastic approximation approach paired with unbiased estimators to solve conditional stochastic optimization problems where exact joint sampling of (X, Z) is impossible.