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- research-articleJuly 2023
Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?
GECCO '23: Proceedings of the Genetic and Evolutionary Computation ConferencePages 1127–1136https://doi.org/10.1145/3583131.3590368The aim of Symbolic Regression (SR) is to discover interpretable expressions that accurately describe data. The accuracy of an expression depends on both its structure and coefficients. To keep the structure simple enough to be interpretable, ...