How can one transform an optimization problem where the decision variable is a probability distribution, i.e., something like $max_{P \in \mathcal{P}} \mathbb{E}_P[X]$ to an optimization problem over the realization of the randomness?
2026-03-29 17:25:08.1774805108
Optimization over probability distribution vs the realizations
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