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Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?

, , , and . GECCO, page 1127-1136. ACM, (2023)

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Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization., , , , and . PPSN (2), volume 13399 of Lecture Notes in Computer Science, page 247-262. Springer, (2022)Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations., , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 260-273. PMLR, (2023)On genetic programming representations and fitness functions for interpretable dimensionality reduction., , , and . GECCO, page 458-466. ACM, (2022)Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms., , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113131B. SPIE, (2020)Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation., , and . CoRR, (2024)Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?, , , and . GECCO, page 1127-1136. ACM, (2023)Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation., , , and . GECCO, ACM, (2024)Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms., , , , , , , and . GECCO (Companion), page 1372-1379. ACM, (2017)Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection., , , and . GECCO (Companion), page 1697-1704. ACM, (2017)Linear scaling with and within semantic backpropagation-based genetic programming for symbolic regression., , and . GECCO, page 1084-1092. ACM, (2019)