locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
Sparse Bayesian ARX models with flexible noise distributions
Robust regression algorithm that can be used for explaining black box models (R implementation)
Methods for data segmentation under a sparse regression model
Simple implementation of (Takada & Fujisawa, 2020, NeurIPS) and (Takada & Fujisawa, 2023, arXiv)
SparseStep: Approximating the Counting Norm for Sparse Regularization
Factored QTL analysis applied to GTEx and GWAS of 114 complex traits
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