ITBoost uses MDL-based complexity of residual trajectories to assign trust weights, improving robustness to label noise in tabular boosting without sacrificing clean-data performance.
A comparative analysis of gradient boosting algorithms
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ITBoost: Information-Theoretic Trust for Robust Boosting
ITBoost uses MDL-based complexity of residual trajectories to assign trust weights, improving robustness to label noise in tabular boosting without sacrificing clean-data performance.