IMR models an incomplete matrix as intercepts plus Lasso-penalized covariates plus low-rank latent factors with ridge penalties on known kernels, estimated by modular ALS with non-asymptotic error bounds.
Bioinformatics (Oxford, England) , volume =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Incomplete Matrix Regression
IMR models an incomplete matrix as intercepts plus Lasso-penalized covariates plus low-rank latent factors with ridge penalties on known kernels, estimated by modular ALS with non-asymptotic error bounds.