High-dimensional Cost-constrained Regression via Nonconvex Optimization
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Budget constraints become an important consideration in modern predictive modeling due to the high cost of collecting certain predictors. This motivates us to develop cost-constrained predictive modeling methods. In this paper, we study a new high-dimensional ... ...