| GEFCOM 2014 - Probabilistic Electricity Price Forecasting | Jun 23, 2015 | regressionTime Series | —Unverified | 0 |
| Asymptotic Theory for Two-Way Clustering | Jan 10, 2023 | Clusteringregression | —Unverified | 0 |
| General Fair Empirical Risk Minimization | Jan 29, 2019 | Fairnessregression | —Unverified | 0 |
| General Game Heuristic Prediction Based on Ludeme Descriptions | May 26, 2021 | Predictionregression | —Unverified | 0 |
| Generalisation error in learning with random features and the hidden manifold model | Feb 21, 2020 | regressionvalid | —Unverified | 0 |
| Generalised Bayesian Filtering via Sequential Monte Carlo | Dec 1, 2020 | Bayesian InferenceObject Tracking | —Unverified | 0 |
| Generalizability of Functional Forms for Interatomic Potential Models Discovered by Symbolic Regression | Oct 27, 2022 | Attributeregression | —Unverified | 0 |
| Generalization Ability of Wide Residual Networks | May 29, 2023 | regression | —Unverified | 0 |
| Generalization and Robustness of Batched Weighted Average Algorithm with V-geometrically Ergodic Markov Data | Jun 12, 2014 | General Classificationregression | —Unverified | 0 |
| Generalization bound for kernel similarity learning | Oct 12, 2016 | regression | —Unverified | 0 |
| Generalization bounds for nonparametric regression with β-mixing samples | Aug 2, 2021 | Generalization Boundsregression | —Unverified | 0 |
| Generalization bounds for regression and classification on adaptive covering input domains | Jul 29, 2024 | ClassificationGeneralization Bounds | —Unverified | 0 |
| Generalization Certificates for Adversarially Robust Bayesian Linear Regression | Feb 20, 2025 | Adversarial RobustnessBayesian Inference | —Unverified | 0 |
| Generalization Error Bounds for Multiclass Sparse Linear Classifiers | Apr 13, 2022 | Binary Classificationfeature selection | —Unverified | 0 |
| Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay | Jan 3, 2024 | regression | —Unverified | 0 |
| Generalization Error for Linear Regression under Distributed Learning | Apr 30, 2020 | regression | —Unverified | 0 |
| Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization | Jun 11, 2020 | regression | —Unverified | 0 |
| Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression | Oct 18, 2016 | Model Selectionregression | —Unverified | 0 |
| Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration | Jan 26, 2021 | regression | —Unverified | 0 |
| Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime | May 31, 2021 | regression | —Unverified | 0 |
| Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes | Dec 1, 2009 | Gaussian Processesregression | —Unverified | 0 |
| Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers | May 26, 2023 | Data AugmentationDenoising | —Unverified | 0 |
| Generalization for Least Squares Regression With Simple Spiked Covariances | Oct 17, 2024 | regression | —Unverified | 0 |
| Generalization in Kernel Regression Under Realistic Assumptions | Dec 26, 2023 | regression | —Unverified | 0 |
| Generalization in Supervised Learning Through Riemannian Contraction | Jan 17, 2022 | Generalization Boundsregression | —Unverified | 0 |
| Generalization Properties of hyper-RKHS and its Applications | Sep 26, 2018 | Learning Theoryregression | —Unverified | 0 |
| Generalized Ambiguity Decomposition for Understanding Ensemble Diversity | Dec 28, 2013 | DiversityGeneral Classification | —Unverified | 0 |
| Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacy | Feb 20, 2022 | regressionSurvival Analysis | —Unverified | 0 |
| Generalized Beta Mixtures of Gaussians | Dec 1, 2011 | regression | —Unverified | 0 |
| Chernoff Sampling for Active Testing and Extension to Active Regression | Dec 15, 2020 | Active LearningExperimental Design | —Unverified | 0 |
| Generalized equivalences between subsampling and ridge regularization | May 29, 2023 | regression | —Unverified | 0 |
| 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 |
| Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene | Oct 30, 2016 | DiversityObject | —Unverified | 0 |
| Generalized Information Criteria for Structured Sparse Models | Sep 4, 2023 | Model Selectionregression | —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 |
| 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 |
| Generalized Resubstitution for Regression Error Estimation | Oct 23, 2024 | regression | —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 |