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    A probability metrics approach for reducing the bias of optimality gap estimators in two-stage stochastic linear programming

    Monte Carlo sampling-based estimators of optimality gaps for stochastic programs are known to be biased. When bias is a prominent factor, estimates of optimality gaps tend to be large on average even for high-...

    Rebecca Stockbridge, Güzin Bayraksan in Mathematical Programming (2013)