| A Generalized Online Mirror Descent with Applications to Classification and Regression | Apr 10, 2013 | General Classificationregression | —Unverified | 0 | 0 |
| A generalized quadratic loss for SVM and Deep Neural Networks | Feb 15, 2021 | Binary Classificationregression | —Unverified | 0 | 0 |
| A Generalized Representer Theorem for Hilbert Space - Valued Functions | Sep 19, 2018 | Decision Makingregression | —Unverified | 0 | 0 |
| A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines | Oct 12, 2020 | regression | —Unverified | 0 | 0 |
| A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression | Nov 18, 2016 | regressionStochastic Optimization | —Unverified | 0 | 0 |
| A Generalized Weighted Loss for SVC and MLP | Feb 22, 2023 | Binary ClassificationClassification | —Unverified | 0 | 0 |
| A Generalized Weighted Optimization Method for Computational Learning and Inversion | Jan 23, 2022 | regression | —Unverified | 0 | 0 |
| A General Method for Robust Bayesian Modeling | Oct 17, 2015 | regressionTopic Models | —Unverified | 0 | 0 |
| A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts | Oct 22, 2023 | Density EstimationMixture-of-Experts | —Unverified | 0 | 0 |
| A General Theory for Structured Prediction with Smooth Convex Surrogates | Feb 5, 2019 | General ClassificationGraph Matching | —Unverified | 0 | 0 |
| A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data | Jul 24, 2018 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao | May 12, 2025 | DiversityLearning-To-Rank | —Unverified | 0 | 0 |
| A Generic Regression Framework for Pose Recognition on Color and Depth Images | Sep 23, 2017 | General ClassificationObject Recognition | —Unverified | 0 | 0 |
| Double Descent Risk and Volume Saturation Effects: A Geometric Perspective | Jun 8, 2020 | Model Selectionregression | —Unverified | 0 | 0 |
| A Geometric take on Metric Learning | Dec 1, 2012 | Dimensionality ReductionMetric Learning | —Unverified | 0 | 0 |
| Age Progression and Regression with Spatial Attention Modules | Mar 6, 2019 | regressionTranslation | —Unverified | 0 | 0 |
| Aggregating Data for Optimal and Private Learning | Nov 28, 2024 | regression | —Unverified | 0 | 0 |
| Aggregation as Unsupervised Learning and its Evaluation | Oct 28, 2021 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point | Mar 9, 2025 | regression | —Unverified | 0 | 0 |
| A global approach for learning sparse Ising models | Jun 26, 2019 | regression | —Unverified | 0 | 0 |
| A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor | Feb 11, 2023 | regression | —Unverified | 0 | 0 |
| Agnostic Learnability of Halfspaces via Logistic Loss | Jan 31, 2022 | regression | —Unverified | 0 | 0 |
| Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms | Jun 3, 2024 | regression | —Unverified | 0 | 0 |
| Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression | Mar 8, 2023 | Computational EfficiencyPAC learning | —Unverified | 0 | 0 |
| Agnostic Proper Learning of Halfspaces under Gaussian Marginals | Feb 10, 2021 | regression | —Unverified | 0 | 0 |