| ASBART:Accelerated Soft Bayes Additive Regression Trees | Oct 21, 2023 | regression | CodeCode Available | 0 |
| Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success | Nov 1, 2019 | regression | CodeCode Available | 0 |
| On the Relationship between Data Efficiency and Error for Uncertainty Sampling | Jun 15, 2018 | Active Learningregression | CodeCode Available | 0 |
| Unsupervised Pool-Based Active Learning for Linear Regression | Jan 14, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 0 |
| Scaling Gaussian Process Regression with Derivatives | Oct 29, 2018 | Bayesian OptimizationDimensionality Reduction | CodeCode Available | 0 |
| Scaling Gaussian Process Regression with Full Derivative Observations | May 14, 2025 | regression | CodeCode Available | 0 |
| Generalization Error of Generalized Linear Models in High Dimensions | May 1, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment | Mar 29, 2022 | Face AlignmentFacial Landmark Detection | CodeCode Available | 0 |
| Synergy between Observation Systems Oceanic in Turbulent Regions | Dec 28, 2020 | regression | CodeCode Available | 0 |
| Artificial Neural Network Modeling for Path Loss Prediction in Urban Environments | Apr 4, 2019 | regression | CodeCode Available | 0 |
| Scaling structural learning with NO-BEARS to infer causal transcriptome networks | Oct 31, 2019 | CPUGPU | CodeCode Available | 0 |
| Adaptive Conditional Quantile Neural Processes | May 30, 2023 | Image InpaintingMeta-Learning | CodeCode Available | 0 |
| Randomly Projected Additive Gaussian Processes for Regression | Dec 30, 2019 | Gaussian Processesregression | CodeCode Available | 0 |
| On the Soundness of XAI in Prognostics and Health Management (PHM) | Mar 9, 2023 | Explainable Artificial Intelligence (XAI)Management | CodeCode Available | 0 |
| DL-Reg: A Deep Learning Regularization Technique using Linear Regression | Oct 31, 2020 | Deep Learningregression | CodeCode Available | 0 |
| Constant-Time Predictive Distributions for Gaussian Processes | Mar 16, 2018 | Gaussian Processesregression | CodeCode Available | 0 |
| Generalization Properties of Learning with Random Features | Feb 14, 2016 | regression | CodeCode Available | 0 |
| Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression | Apr 23, 2025 | Feature ImportanceInformativeness | CodeCode Available | 0 |
| On the Soundness of XAI in Prognostics and Health Management (PHM) | Apr 24, 2023 | Explainable Artificial Intelligence (XAI)Management | CodeCode Available | 0 |
| Machine learning of Kondo physics using variational autoencoders and symbolic regression | Jul 16, 2021 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| Random Machines: A bagged-weighted support vector model with free kernel choice | Nov 21, 2019 | Benchmarkingregression | CodeCode Available | 0 |
| Generalized Concomitant Multi-Task Lasso for sparse multimodal regression | May 27, 2017 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Generalized Deep Image to Image Regression | Dec 10, 2016 | ColorizationDenoising | CodeCode Available | 0 |
| Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression | Aug 10, 2024 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Random Machines Regression Approach: an ensemble support vector regression model with free kernel choice | Mar 27, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison | Jun 17, 2021 | BIG-bench Machine Learningquantile regression | CodeCode Available | 0 |
| Spectral image clustering on dual-energy CT scans using functional regression mixtures | Jan 31, 2022 | ClusteringImage Clustering | CodeCode Available | 0 |
| Machine learning modeling of superconducting critical temperature | Sep 8, 2017 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 0 |
| Consistent Regression using Data-Dependent Coverings | Jul 4, 2019 | regression | CodeCode Available | 0 |
| Dlib-ml: A Machine Learning Toolkit | Jan 1, 2009 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 |
| Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression | May 28, 2024 | Interpretable Machine LearningLearning Theory | CodeCode Available | 0 |
| Random Planted Forest: a directly interpretable tree ensemble | Dec 29, 2020 | regression | CodeCode Available | 0 |
| Random-projection ensemble dimension reduction | Oct 7, 2024 | Dimensionality Reductionregression | CodeCode Available | 0 |
| Universal distribution of the empirical coverage in split conformal prediction | Mar 5, 2023 | Conformal PredictionPrediction | CodeCode Available | 0 |
| On the Universality of the Double Descent Peak in Ridgeless Regression | Oct 5, 2020 | regression | CodeCode Available | 0 |
| Semiparametric discrete data regression with Monte Carlo inference and prediction | Oct 23, 2021 | regressionVariable Selection | CodeCode Available | 0 |
| The Strong Screening Rule for SLOPE | May 7, 2020 | regression | CodeCode Available | 0 |
| Generalized Multi-Output Gaussian Process Censored Regression | Sep 10, 2020 | regressionStochastic Optimization | CodeCode Available | 0 |
| Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method | Nov 24, 2020 | GPRImputation | CodeCode Available | 0 |
| Scaling up ridge regression for brain encoding in a massive individual fMRI dataset | Mar 28, 2024 | CPUMath | CodeCode Available | 0 |
| Age Progression/Regression by Conditional Adversarial Autoencoder | Feb 27, 2017 | Attributeregression | CodeCode Available | 0 |
| Generalized Regression with Conditional GANs | Apr 21, 2024 | regression | CodeCode Available | 0 |
| Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis | Oct 25, 2016 | regression | CodeCode Available | 0 |
| Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression | Jun 3, 2018 | Distributed Computingregression | CodeCode Available | 0 |
| On Tractable Computation of Expected Predictions | Oct 5, 2019 | FairnessImputation | CodeCode Available | 0 |
| Scaling-Up the Pretraining of the Earth Observation Foundation Model PhilEO to the MajorTOM Dataset | Jun 17, 2025 | Density EstimationEarth Observation | CodeCode Available | 0 |
| Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models | Jan 14, 2025 | regression | CodeCode Available | 0 |
| Ranking over Regression for Bayesian Optimization and Molecule Selection | Oct 11, 2024 | Bayesian OptimizationDecision Making | CodeCode Available | 0 |
| ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language | Dec 18, 2019 | ObjectObject Localization | CodeCode Available | 0 |
| On weight and variance uncertainty in neural networks for regression tasks | Jan 8, 2025 | regression | CodeCode Available | 0 |