Gradient boosted decision trees reveal nuances of auditory discrimination behavior
PulseAugur coverage of Gradient boosted decision trees reveal nuances of auditory discrimination behavior — every cluster mentioning Gradient boosted decision trees reveal nuances of auditory discrimination behavior across labs, papers, and developer communities, ranked by signal.
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Research finds Tabular Foundation Models are overparameterized, suggesting simplification
A new research paper suggests that Tabular Foundation Models (TFMs), which use transformer architectures, are significantly overparameterized. The study introduces a method to replace up to 96% of a TFM's blocks without…
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New qshap tool decomposes R-squared for gradient-boosted trees
Researchers have introduced qshap, a new method for decomposing R-squared values in gradient-boosted decision trees. This tool, available in R and Python, quantifies the contribution of individual features to overall mo…
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New research advances conformal prediction for better ML uncertainty quantification · 4 sources tracked
Researchers are exploring advanced conformal prediction techniques to improve uncertainty quantification in machine learning. One paper introduces Online Conformal Prediction Beyond Feedback (OCPQ), which can output pre…
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New EMA-FS method accelerates GBDT training by screening features
Researchers have developed EMA-FS, a new method to accelerate the training of Gradient Boosted Decision Trees (GBDTs) like LightGBM. This technique optimizes the histogram construction process, which typically consumes …
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ScoreStop offers gradient-based early stopping for decision trees
Researchers have developed ScoreStop, a novel gradient-based early stopping method for gradient boosted decision trees. This new technique frames the stopping decision as a statistical test for overfitting, using functi…
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Tabular Foundation Models Show Performance-Uncertainty Trade-off
A new research paper highlights a critical trade-off in Tabular Foundation Models (TFMs), where high predictive performance comes at the cost of unreliable uncertainty quantification. The study, which compared TFMs agai…