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ENTITY Sample average approximation with heavier tails I: non-asymptotic bounds with weak assumptions and stochastic constraints

Sample average approximation with heavier tails I: non-asymptotic bounds with weak assumptions and stochastic constraints

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    New Conformal Predictive Programming framework tackles chance-constrained optimization

    Researchers have introduced Conformal Predictive Programming (CPP), a new framework designed to tackle chance-constrained optimization problems. CPP leverages samples from random variables and the quantile lemma, a core…