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| Deep Gaussian Processes for Regression using Approximate Expectation Propagation | Feb 12, 2016 | Gaussian Processesregression | —Unverified | 0 |
| Deep filter bank regression for super-resolution of anisotropic MR brain images | Sep 6, 2022 | regressionSuper-Resolution | —Unverified | 0 |
| Symbolic Regression on Sparse and Noisy Data with Gaussian Processes | Sep 20, 2023 | Gaussian Processesregression | —Unverified | 0 |
| GPTreeO: An R package for continual regression with dividing local Gaussian processes | Oct 1, 2024 | Continual LearningGaussian Processes | —Unverified | 0 |
| GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification | Aug 8, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| GPU-Friendly Local Regression for Voice Conversion | May 1, 2015 | CPUGPU | —Unverified | 0 |
| GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network | May 22, 2017 | Lesion Detectionregression | —Unverified | 0 |
| Consistent Risk Estimation in Moderately High-Dimensional Linear Regression | Feb 5, 2019 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| A rigorous introduction to linear models | May 10, 2021 | regression | —Unverified | 0 |
| Gradient-Based Empirical Risk Minimization using Local Polynomial Regression | Nov 4, 2020 | regression | —Unverified | 0 |
| Consistent Robust Regression | Dec 1, 2017 | regression | —Unverified | 0 |
| Gradient-based Optimization for Regression in the Functional Tensor-Train Format | Jan 3, 2018 | regression | —Unverified | 0 |
| Consistent selection of tuning parameters via variable selection stability | Aug 16, 2012 | regressionVariable Selection | —Unverified | 0 |
| Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions | Mar 28, 2017 | regression | —Unverified | 0 |
| Gradient Boosted Binary Histogram Ensemble for Large-scale Regression | Jun 3, 2021 | Computational EfficiencyEnsemble Learning | —Unverified | 0 |
| Attentive Sequential Neural Processes | Sep 25, 2019 | regression | —Unverified | 0 |
| Gradient boosting machine with partially randomized decision trees | Jun 19, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction | May 14, 2024 | Dimensionality Reductionregression | —Unverified | 0 |
| A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression | Jun 1, 2022 | regression | —Unverified | 0 |
| Deepfake Representation with Multilinear Regression | Aug 15, 2021 | Face Swappingregression | —Unverified | 0 |
| Online A-Optimal Design and Active Linear Regression | Jun 20, 2019 | regression | —Unverified | 0 |
| Gradient Coding with Iterative Block Leverage Score Sampling | Aug 6, 2023 | regression | —Unverified | 0 |
| Gradient Descent Converges Linearly for Logistic Regression on Separable Data | Jun 26, 2023 | regression | —Unverified | 0 |
| Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking | Apr 5, 2020 | Face AlignmentFacial Landmark Detection | —Unverified | 0 |