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  "Title": "Beyond Pareto: Bi-Objective and Multi-Objective Regression\nTrees’",
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  "Description": "Implements the Bi-objective Regression Tree (BORT) for\nefficiently learning vector-valued functions. Unlike\ntraditional methods that rely on constructing multiple models\nor static scalarisation, BORT integrates the exploration of the\nPareto front directly into a single tree's growth process. It\nprovides high-efficiency, single-model approaches that can\nPareto-dominate entire Pareto-consistent families of trees,\nsupported by a C backend for fast computation. For more details\nsee Paz (2026) <doi:10.1007/978-3-032-28393-1_2> and Paz (2025)\n<doi:10.1007/978-3-031-78401-9_2>.",
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