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cs.LG2024
Joint Optimization of Piecewise Linear Ensembles
Matt Raymond, Angela Violi, Clayton Scott
Tree ensembles achieve state-of-the-art performance on numerous prediction tasks. We propose oint ptimization of iecewise inear $\te…
cs.LG2024
Universal Feature Selection for Simultaneous Interpretability of Multitask Datasets
Matt Raymond, Jacob Charles Saldinger, Paolo Elvati +2
Extracting meaningful features from complex, high-dimensional datasets across scientific domains remains challenging. Current methods often struggle with scalability, limiting thei…