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.
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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.