| Generalization Error of Generalized Linear Models in High Dimensions | May 1, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Binscatter Regressions | Feb 25, 2019 | quantile regressionregression | CodeCode Available | 0 | 5 |
| An algorithm-based multiple detection influence measure for high dimensional regression using expectile | May 26, 2021 | regression | CodeCode Available | 0 | 5 |
| Distributional Refinement Network: Distributional Forecasting via Deep Learning | Jun 3, 2024 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Generalized Concomitant Multi-Task Lasso for sparse multimodal regression | May 27, 2017 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 | 5 |
| Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits | Jan 21, 2024 | Multi-Armed Banditsregression | CodeCode Available | 0 | 5 |
| Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts | Jul 2, 2024 | Decision Makingquantile regression | CodeCode Available | 0 | 5 |
| Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes | Aug 3, 2018 | Conditional Image GenerationDiversity | CodeCode Available | 0 | 5 |
| Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression | Nov 3, 2023 | ClassificationPose Estimation | CodeCode Available | 0 | 5 |
| BitHEP -- The Limits of Low-Precision ML in HEP | Apr 4, 2025 | parameter estimationregression | CodeCode Available | 0 | 5 |
| Distributed Time-Varying Gaussian Regression via Kalman Filtering | Apr 21, 2025 | regression | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |
| Black-Box Batch Active Learning for Regression | Feb 17, 2023 | Active Learningregression | CodeCode Available | 0 | 5 |
| Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models | Feb 6, 2014 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 | 5 |
| A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans | May 3, 2025 | Pancreas Segmentationregression | CodeCode Available | 0 | 5 |
| Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control | May 24, 2022 | regression | CodeCode Available | 0 | 5 |
| Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring | May 1, 2024 | Earth Observationregression | CodeCode Available | 0 | 5 |
| A Boundary Regression Model for Nested Named Entity Recognition | Nov 29, 2020 | named-entity-recognitionNamed Entity Recognition | CodeCode Available | 0 | 5 |
| Distributed linear regression by averaging | Sep 30, 2018 | regression | CodeCode Available | 0 | 5 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Distributional Adaptive Soft Regression Trees | Oct 19, 2022 | regression | CodeCode Available | 0 | 5 |
| Band-gap regression with architecture-optimized message-passing neural networks | Sep 12, 2023 | Band Gapband gap regression | CodeCode Available | 0 | 5 |
| Distributed Coordinate Descent for L1-regularized Logistic Regression | Nov 24, 2014 | regression | CodeCode Available | 0 | 5 |
| Distributed Function Minimization in Apache Spark | Sep 17, 2019 | General Classificationregression | CodeCode Available | 0 | 5 |
| Counterfactual reasoning: an analysis of in-context emergence | Jun 5, 2025 | counterfactualCounterfactual Reasoning | CodeCode Available | 0 | 5 |
