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Variable Selection

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TitleStatusHype
Optimal variable selection in multi-group sparse discriminant analysis—0
Oracle Inequalities for Convex Loss Functions with Non-Linear Targets—0
Order Book Queue Hawkes-Markovian Modeling—0
Ordering-Based Causal Discovery with Reinforcement Learning—0
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models—0
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes—0
PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects—0
Penalized Generative Variable Selection—0
Penalized versus constrained generalized eigenvalue problems—0
Persistent Reductions in Regularized Loss Minimization for Variable Selection—0
PLUTO: Penalized Unbiased Logistic Regression Trees—0
Poverty rate prediction using multi-modal survey and earth observation data—0
Power analysis of knockoff filters for correlated designs—0
Practically Effective Adjustment Variable Selection in Causal Inference—0
Precision-Recall Curve (PRC) Classification Trees—0
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension—0
Predictive Quantile Regression with High-Dimensional Predictors: The Variable Screening Approach—0
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach—0
Probabilistic forecasting of power system imbalance using neural network-based ensembles—0
Probing for sparse and fast variable selection with model-based boosting—0
Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods—0
Provable Identifiability of ReLU Neural Networks via Lasso Regularization—0
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization—0
Provable Sparse Tensor Decomposition—0
Provable Variable Selection for Streaming Features—0
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