SAGE-Fit improves symbolic regression by exploiting structure and semantic priors to optimize parameters in non-convex inner loops, reducing under-scoring of correct equation structures.
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When Good Equations Get Bad Scores: Improving Symbolic Regression Through Better Parameter Optimization
SAGE-Fit improves symbolic regression by exploiting structure and semantic priors to optimize parameters in non-convex inner loops, reducing under-scoring of correct equation structures.