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stat.ML2021★ 2 cited
Efficient Designs of SLOPE Penalty Sequences in Finite Dimension
Yiliang Zhang, Zhiqi Bu
In linear regression, SLOPE is a new convex analysis method that generalizes the Lasso via the sorted L1 penalty: larger fitted coefficients are penalized more heavily. This magnit…
stat.ML2020
A general kernel boosting framework integrating pathways for predictive modeling based on genomic data
Li Zeng, Zhaolong Yu, Yiliang Zhang +1
Predictive modeling based on genomic data has gained popularity in biomedical research and clinical practice by allowing researchers and clinicians to identify biomarkers and tailo…