| 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 |
