| Generalized Factor Neural Network Model for High-dimensional Regression | Feb 16, 2025 | regression | —Unverified | 0 |
| Optimized Skeleton-based Action Recognition via Sparsified Graph Regression | Nov 29, 2018 | Action Recognitiongraph construction | —Unverified | 0 |
| A Lottery-Demand-Based Explanation of the Beta Anomaly | Dec 1, 2017 | regression | —Unverified | 0 |
| Generalized Information Criteria for Structured Sparse Models | Sep 4, 2023 | Model Selectionregression | —Unverified | 0 |
| Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression | Mar 19, 2019 | regression | —Unverified | 0 |
| Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection | Nov 9, 2021 | Causal Inferencecounterfactual | —Unverified | 0 |
| Kernel methods for long term dose response curves | Jan 13, 2022 | Causal Inferencecounterfactual | —Unverified | 0 |
| Generalized Learning with Rejection for Classification and Regression Problems | Nov 3, 2019 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| Generalized Leverage Score Sampling for Neural Networks | Sep 21, 2020 | Learning Theoryregression | —Unverified | 0 |
| Generalized Linear Model Regression under Distance-to-set Penalties | Nov 3, 2017 | regression | —Unverified | 0 |
| Generalized Linear Models with Structured Sparsity Estimators | Apr 29, 2021 | regression | —Unverified | 0 |
| Generalized Linear Rule Models | Jun 5, 2019 | General Classificationregression | —Unverified | 0 |
| Confidence Intervals for Algorithmic Leveraging in Linear Regression | Jun 5, 2016 | regression | —Unverified | 0 |
| Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory | Aug 5, 2023 | Data Augmentationregression | —Unverified | 0 |
| Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy | Dec 31, 2022 | regressionSensitivity | —Unverified | 0 |
| Generalized Quantile Loss for Deep Neural Networks | Dec 28, 2020 | quantile regressionregression | —Unverified | 0 |
| Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions | Mar 28, 2017 | regression | —Unverified | 0 |
| Generalized Resubstitution for Regression Error Estimation | Oct 23, 2024 | regression | —Unverified | 0 |
| A General Method for Robust Bayesian Modeling | Oct 17, 2015 | regressionTopic Models | —Unverified | 0 |
| Generalized Shuffled Linear Regression | Jan 1, 2021 | regression | —Unverified | 0 |
| Generalized support vector regression: duality and tensor-kernel representation | Mar 18, 2016 | regression | —Unverified | 0 |
| Generalizing semi-supervised generative adversarial networks to regression using feature contrasting | Nov 27, 2018 | Age EstimationCrowd Counting | —Unverified | 0 |
| Generalizing the SINDy approach with nested neural networks | Apr 24, 2024 | regressionSymbolic Regression | —Unverified | 0 |
| General Regression Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, and Feedforward Neural Networks | Nov 16, 2019 | regression | —Unverified | 0 |
| Deep Generative Quantile-Copula Models for Probabilistic Forecasting | Jul 24, 2019 | Probabilistic Time Series Forecastingquantile regression | —Unverified | 0 |