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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)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)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)The Nash and the bandit approaches for adversarial portfolios., and . CIG, page 1-7. IEEE, (2014)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)Tarsier: Evolving Noise Injection in Super-Resolution GANs., , , , , , and . ICPR, page 7028-7035. IEEE, (2020)Fairness in generative modeling: do it unsupervised!, , , , , , and . GECCO Companion, page 320-323. ACM, (2022)Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym., , , , and . IEEE Trans. Evol. Comput., 29 (1): 91-101 (February 2025)