| Feature Selection for Ridge Regression with Provable Guarantees | Jun 17, 2015 | Classificationfeature selection | —Unverified | 0 |
| Feature Selection from Differentially Private Correlations | Aug 20, 2024 | feature selectionregression | —Unverified | 0 |
| Feature selection in stratification estimators of causal effects: lessons from potential outcomes, causal diagrams, and structural equations | Sep 23, 2022 | feature selectionregression | —Unverified | 0 |
| Deep Lattice Networks and Partial Monotonic Functions | Sep 19, 2017 | General Classificationregression | —Unverified | 0 |
| Deep Kronecker Network | Oct 24, 2022 | regression | —Unverified | 0 |
| Features of word similarity | Aug 24, 2018 | regressionWord Similarity | —Unverified | 0 |
| Cointegrating Polynomial Regressions with Power Law Trends: Environmental Kuznets Curve or Omitted Time Effects? | Sep 4, 2020 | regressionRelation | —Unverified | 0 |
| Feature Space Sketching for Logistic Regression | Mar 24, 2023 | Dimensionality Reductionfeature selection | —Unverified | 0 |
| Feature vector regularization in machine learning | Dec 19, 2012 | BIG-bench Machine LearningCancer Classification | —Unverified | 0 |
| FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning | Jun 4, 2024 | Federated Learningregression | —Unverified | 0 |
| Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process | Jun 13, 2022 | Federated LearningKnowledge Distillation | —Unverified | 0 |
| Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression | Sep 16, 2022 | Privacy Preservingregression | —Unverified | 0 |
| Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT | Feb 12, 2020 | regressionSound Source Localization | —Unverified | 0 |
| Federated Empirical Risk Minimization via Second-Order Method | May 27, 2023 | Federated Learningquantile regression | —Unverified | 0 |
| Federated Latent Class Regression for Hierarchical Data | Jun 22, 2022 | Federated Learningregression | —Unverified | 0 |
| Collaborative Filtering with Side Information: a Gaussian Process Perspective | May 23, 2016 | Collaborative Filteringregression | —Unverified | 0 |
| Federated Multi-task Hierarchical Attention Model for Sensor Analytics | May 13, 2019 | Activity RecognitionGeneral Classification | —Unverified | 0 |
| Federated Smoothing Proximal Gradient for Quantile Regression with Non-Convex Penalties | Aug 10, 2024 | Federated Learningquantile regression | —Unverified | 0 |
| Federated Sufficient Dimension Reduction Through High-Dimensional Sparse Sliced Inverse Regression | Jan 23, 2023 | Dimensionality ReductionFederated Learning | —Unverified | 0 |
| Federated Transfer Learning with Differential Privacy | Mar 17, 2024 | Federated Learningregression | —Unverified | 0 |
| Alternating Minimization for Mixed Linear Regression | Oct 14, 2013 | regression | —Unverified | 0 |
| Feel-Good Thompson Sampling for Contextual Bandits and Reinforcement Learning | Oct 2, 2021 | Multi-Armed Banditsregression | —Unverified | 0 |
| Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data | Dec 21, 2022 | Crop Yield PredictionGraph Neural Network | —Unverified | 0 |
| Ferryman at SemEval-2020 Task 7: Ensemble Model for Assessing Humor in Edited News Headlines | Dec 1, 2020 | regressionSentiment Analysis | —Unverified | 0 |
| Deep Kinematic Pose Regression | Sep 17, 2016 | 3D Human Pose EstimationObject | —Unverified | 0 |