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Variable Selection

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Showing 251–300 of 566 papers

TitleStatusHype
Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease—0
Neural lasso: a unifying approach of lasso and neural networks—0
Noise-Augmented Privacy-Preserving Empirical Risk Minimization with Dual-purpose Regularizer and Privacy Budget Retrieval and Recycling—0
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference—0
Nonlinear Permuted Granger Causality—0
Nonlinear variable selection with continuous outcome: a nonparametric incremental forward stagewise approach—0
Nonoverlap-Promoting Variable Selection—0
Nonparametric Greedy Algorithms for the Sparse Learning Problem—0
Nonparametric learning of covariate-based Markov jump processes using RKHS techniques—0
Nonparametric Variable Screening with Optimal Decision Stumps—0
Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model—0
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization—0
On LASSO for Predictive Regression—0
On Sufficient Graphical Models—0
On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data—0
On the Computational Complexity of High-Dimensional Bayesian Variable Selection—0
On the exact recovery of sparse signals via conic relaxations—0
On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques—0
Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution—0
Optimal ETF Selection for Passive Investing—0
Optimal Feature Selection in High-Dimensional Discriminant Analysis—0
Optimality of Graphlet Screening in High Dimensional Variable Selection—0
Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input—0
Optimal Particle-based Approximation of Discrete Distributions (OPAD)—0
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
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
Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems—0
Pruning variable selection ensembles—0
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