Hyunwook Koh

This paper introduces a model-agnostic decomposition method to analyze differences in mean response between groups, using game-theoretic attribution and optimal transport coupling.

This paper introduces TreeOwen, algorithms for computing Owen values in tree-based ensembles to provide structured, multi-resolution explanations for grouped features in scientific applications.

This paper introduces Phylogeny-Informed Random Forests (PIRF), an extension of Random Forest that incorporates phylogenetic tree information to improve predictive accuracy in human microbiome studies.

This paper introduces enKern, an ensemble learning method that jointly performs kernel association testing and principal component analysis across multiple kernels, demonstrating improved validity and power in microbiome beta-diversity analysis.

This paper introduces KernRBD, a kernel machine framework for randomized block designs, to analyze treatment effects on variants with improved statistical power and visualization.