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Consistent population control: generate plenty of points, but with a bit of resampling.

, , , and . FOGA, page 116-123. ACM, (2019)

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Taylor-based pseudo-metrics for random process fitting in dynamic programming: expected loss minimization and risk management., , and . CAP, page 183-184. PUG, (2005)Toward Optimal Run Racing: Application to Deep Learning Calibration., , , , , , and . CoRR, (2017)The Nash and the bandit approaches for adversarial portfolios., and . CIG, page 1-7. IEEE, (2014)On Averaging the Best Samples in Evolutionary Computation., , , , and . PPSN (2), volume 12270 of Lecture Notes in Computer Science, page 661-674. Springer, (2020)Designing an Optimal Search Algorithm with Respect to Prior Information., and . Theory and Principled Methods for the Design of Metaheuristics, Springer, (2014)Slightly Beyond Turing's Computability for Studying Genetic Programming.. MCU, volume 4664 of Lecture Notes in Computer Science, page 279-290. Springer, (2007)Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper., and . LION, volume 7219 of Lecture Notes in Computer Science, page 220-234. Springer, (2012)Kernel Based Image Classification., and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 369-375. Springer, (2001)Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms., and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 265-270. Springer, (2001)Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error., and . ICANN, volume 2415 of Lecture Notes in Computer Science, page 583-588. Springer, (2002)