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| Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design | Mar 26, 2021 | regression | CodeCode Available | 0 | 5 |
| Domain Generalization by Functional Regression | Feb 9, 2023 | Domain Generalizationregression | CodeCode Available | 0 | 5 |
| DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data | Aug 31, 2021 | regression | CodeCode Available | 0 | 5 |
| DL-Reg: A Deep Learning Regularization Technique using Linear Regression | Oct 31, 2020 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Neural-Guided Symbolic Regression with Asymptotic Constraints | Jan 23, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions | Dec 26, 2019 | regressionVocal Bursts Intensity Prediction | CodeCode Available | 0 | 5 |
| Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching | Sep 25, 2019 | Efficient ExplorationMulti-Armed Bandits | CodeCode Available | 0 | 5 |
| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | CodeCode Available | 0 | 5 |
| Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models | Nov 29, 2020 | regression | CodeCode Available | 0 | 5 |
| Activation Regression for Continuous Domain Generalization with Applications to Crop Classification | Apr 14, 2022 | Crop ClassificationDomain Adaptation | CodeCode Available | 0 | 5 |
| Neural Predictor for Neural Architecture Search | Dec 2, 2019 | Neural Architecture Searchregression | CodeCode Available | 0 | 5 |
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| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | 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 |
| Automatic doubly robust inference for linear functionals via calibrated debiased machine learning | Nov 5, 2024 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images | May 8, 2018 | 3D Pose EstimationAutonomous Driving | CodeCode Available | 0 | 5 |
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| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | CodeCode Available | 0 | 5 |
| NLP-based classification of software tools for metagenomics sequencing data analysis into EDAM semantic annotation | Sep 30, 2022 | regression | CodeCode Available | 0 | 5 |
| NLS: an accurate and yet easy-to-interpret regression method | Oct 11, 2019 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| NODER: Image Sequence Regression Based on Neural Ordinary Differential Equations | Jul 18, 2024 | regressionTime Series | CodeCode Available | 0 | 5 |
| Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models? | Aug 26, 2021 | regressionUnity | CodeCode Available | 0 | 5 |
| Dlib-ml: A Machine Learning Toolkit | Jan 1, 2009 | Anomaly DetectionBIG-bench Machine Learning | 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 |
| On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators | Jun 2, 2020 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning | Jul 18, 2024 | regressionUncertainty Quantification | CodeCode Available | 0 | 5 |
| Automatic debiasing of neural networks via moment-constrained learning | Sep 29, 2024 | regression | CodeCode Available | 0 | 5 |
| Distributional Reinforcement Learning with Quantile Regression | Oct 27, 2017 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
| Nonlinear Causal Discovery via Kernel Anchor Regression | Oct 30, 2022 | Causal Discoveryregression | CodeCode Available | 0 | 5 |
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| Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits | Jan 21, 2024 | Multi-Armed Banditsregression | CodeCode Available | 0 | 5 |
| Non-Normal Mixtures of Experts | Jun 22, 2015 | ClusteringMixture-of-Experts | CodeCode Available | 0 | 5 |
| Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients | Feb 8, 2024 | Econometricsregression | CodeCode Available | 0 | 5 |
| Nonparametric Linear Feature Learning in Regression Through Regularisation | Jul 24, 2023 | feature selectionregression | CodeCode Available | 0 | 5 |
| Nonparametric Reduced-Rank Regression for Multi-SNP, Multi-Trait Association Mapping | Dec 8, 2015 | regression | CodeCode Available | 0 | 5 |
| Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo | Aug 18, 2015 | GPRregression | CodeCode Available | 0 | 5 |
| Comparison of Forecasting Methods of House Electricity Consumption for Honda Smart Home | Aug 11, 2022 | energy managementManagement | CodeCode Available | 0 | 5 |
| AMF: Aggregated Mondrian Forests for Online Learning | Jun 25, 2019 | General ClassificationMulti-class Classification | CodeCode Available | 0 | 5 |
| Distributional Refinement Network: Distributional Forecasting via Deep Learning | Jun 3, 2024 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Automatic Construction and Natural-Language Description of Nonparametric Regression Models | Feb 18, 2014 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Approximation Vector Machines for Large-scale Online Learning | Apr 22, 2016 | General Classificationregression | CodeCode Available | 0 | 5 |
| Object detection via a multi-region & semantic segmentation-aware CNN model | May 7, 2015 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Automatic and explainable grading of meningiomas from histopathology images | Jul 19, 2021 | object-detectionObject Detection | CodeCode Available | 0 | 5 |
| Distribution-Free Predictive Inference For Regression | Apr 14, 2016 | Computational EfficiencyPrediction | CodeCode Available | 0 | 5 |
| OKRidge: Scalable Optimal k-Sparse Ridge Regression | Apr 13, 2023 | regressionscientific discovery | CodeCode Available | 0 | 5 |
| Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images | Jun 14, 2022 | DiagnosticImage Quality Assessment | CodeCode Available | 0 | 5 |
| Distributed linear regression by averaging | Sep 30, 2018 | regression | CodeCode Available | 0 | 5 |
