Diagonalized Attention for Individualized Regression: Latent-Row Localization and Prediction
This paper formalizes an individualized sparse regression framework for matrix-valued covariates in which each observation has its own rows of interest, while the associated regression effects are shared across the population.
Bo-Rui Peng, Li-Wei Lin, Fei-Fei Wang et al.
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