| Nonlinear variable selection with continuous outcome: a nonparametric incremental forward stagewise approach | Jan 20, 2016 | BIG-bench Machine LearningForm | —Unverified | 0 |
| Nonoverlap-Promoting Variable Selection | Jul 1, 2018 | Variable Selection | —Unverified | 0 |
| Non-parametric Conditional Independence Testing for Mixed Continuous-Categorical Variables: A Novel Method and Numerical Evaluation | Oct 17, 2023 | Causal DiscoveryVariable Selection | —Unverified | 0 |
| Nonparametric Greedy Algorithms for the Sparse Learning Problem | Dec 1, 2009 | Additive modelsregression | —Unverified | 0 |
| Nonparametric learning of covariate-based Markov jump processes using RKHS techniques | May 6, 2025 | Variable Selection | —Unverified | 0 |
| Nonparametric Variable Screening with Optimal Decision Stumps | Nov 5, 2020 | DiagnosticModel Selection | —Unverified | 0 |
| Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model | Nov 2, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization | Dec 31, 2022 | regressionVariable Selection | —Unverified | 0 |
| On LASSO for Predictive Regression | Oct 7, 2018 | regressionVariable Selection | —Unverified | 0 |
| On Sufficient Graphical Models | Jul 10, 2023 | Dimensionality ReductionVariable Selection | —Unverified | 0 |
| On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data | Jun 25, 2025 | Time SeriesVariable Selection | —Unverified | 0 |
| On the Computational Complexity of High-Dimensional Bayesian Variable Selection | May 29, 2015 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| On the exact recovery of sparse signals via conic relaxations | Mar 15, 2016 | Sparse LearningVariable Selection | —Unverified | 0 |
| On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques | Jan 7, 2021 | BIG-bench Machine LearningCloud Computing | —Unverified | 0 |
| Optimal Bias-Correction and Valid Inference in High-Dimensional Ridge Regression: A Closed-Form Solution | May 1, 2024 | EconometricsForm | —Unverified | 0 |
| Optimal ETF Selection for Passive Investing | Nov 28, 2015 | Variable Selection | —Unverified | 0 |
| Optimal Feature Selection in High-Dimensional Discriminant Analysis | Jun 27, 2013 | feature selectionVariable Selection | —Unverified | 0 |
| Optimality of Graphlet Screening in High Dimensional Variable Selection | Apr 29, 2012 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input | Feb 23, 2025 | regressionVariable Selection | —Unverified | 0 |
| Optimal Particle-based Approximation of Discrete Distributions (OPAD) | Nov 30, 2024 | Variable Selection | —Unverified | 0 |
| Optimal variable selection in multi-group sparse discriminant analysis | Nov 23, 2014 | Variable Selection | —Unverified | 0 |
| Oracle Inequalities for Convex Loss Functions with Non-Linear Targets | Dec 12, 2013 | EconometricsVariable Selection | —Unverified | 0 |
| Order Book Queue Hawkes-Markovian Modeling | Jul 20, 2021 | Model SelectionVariable Selection | —Unverified | 0 |
| Ordering-Based Causal Discovery with Reinforcement Learning | May 14, 2021 | Causal DiscoveryDecoder | —Unverified | 0 |
| PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models | Oct 11, 2018 | Data AugmentationVariable Selection | —Unverified | 0 |