Complexity of Lasso with Normalized Data
Vladimir Dragovich explores the computational complexity aspects of Lasso regression when applied to normalized datasets, a relevant inquiry in statistical learning theory and machine learning.
Self-contained public lectures, keynote addresses, and research seminars.
Vladimir Dragovich explores the computational complexity aspects of Lasso regression when applied to normalized datasets, a relevant inquiry in statistical learning theory and machine learning.