| Automated Problem Identification: Regression vs Classification via Evolutionary Deep Networks | Jul 3, 2017 | BIG-bench Machine LearningClassification | CodeCode Available | 0 | 5 |
| Adaptive piecewise polynomial estimation via trend filtering | Apr 10, 2013 | regression | CodeCode Available | 0 | 5 |
| Distributional conformal prediction | Sep 17, 2019 | Conformal Predictioncounterfactual | CodeCode Available | 0 | 5 |
| Online Asynchronous Distributed Regression | Jul 16, 2014 | Distributed Computingregression | CodeCode Available | 0 | 5 |
| Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks | Apr 19, 2016 | Action DetectionAction Recognition | CodeCode Available | 0 | 5 |
| On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters | Sep 16, 2018 | regressionTime Series | 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 |
| Distributed Time-Varying Gaussian Regression via Kalman Filtering | Apr 21, 2025 | regression | CodeCode Available | 0 | 5 |
| On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa | Nov 6, 2021 | regression | CodeCode Available | 0 | 5 |
| On Regression in Extreme Regions | Mar 6, 2023 | regression | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |
| Compositional Human Pose Regression | Apr 1, 2017 | 3D Human Pose Estimation3D Pose Estimation | CodeCode Available | 0 | 5 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Jun 10, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 | 5 |
| A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection | Sep 15, 2017 | Program Synthesisregression | 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 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| On the Relationship between Data Efficiency and Error for Uncertainty Sampling | Jun 15, 2018 | Active Learningregression | CodeCode Available | 0 | 5 |
| On the Soundness of XAI in Prognostics and Health Management (PHM) | Mar 9, 2023 | Explainable Artificial Intelligence (XAI)Management | CodeCode Available | 0 | 5 |
| On the Universality of the Double Descent Peak in Ridgeless Regression | Oct 5, 2020 | regression | CodeCode Available | 0 | 5 |
| On Tractable Computation of Expected Predictions | Oct 5, 2019 | FairnessImputation | CodeCode Available | 0 | 5 |
| Distributional Adaptive Soft Regression Trees | Oct 19, 2022 | regression | CodeCode Available | 0 | 5 |
| Opposite neighborhood: a new method to select reference points of minimal learning machines | Mar 22, 2018 | regression | CodeCode Available | 0 | 5 |
| Distributional Refinement Network: Distributional Forecasting via Deep Learning | Jun 3, 2024 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Optimal Ridge Regularization for Out-of-Distribution Prediction | Apr 1, 2024 | Predictionregression | CodeCode Available | 0 | 5 |
| Distributed Coordinate Descent for L1-regularized Logistic Regression | Nov 24, 2014 | regression | CodeCode Available | 0 | 5 |
| Optimal Training of Mean Variance Estimation Neural Networks | Feb 17, 2023 | regression | CodeCode Available | 0 | 5 |
| Distributed Function Minimization in Apache Spark | Sep 17, 2019 | General Classificationregression | CodeCode Available | 0 | 5 |
| Optimizing Ensemble Weights and Hyperparameters of Machine Learning Models for Regression Problems | Aug 14, 2019 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| AutoLearn - Automated Feature Generation and Selection | Nov 17, 2017 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 0 | 5 |
| Optirank: classification for RNA-Seq data with optimal ranking reference genes | Jan 11, 2023 | regression | CodeCode Available | 0 | 5 |
| Distributed and parallel time series feature extraction for industrial big data applications | Oct 25, 2016 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Deep and interpretable regression models for ordinal outcomes | Oct 16, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Active Learning for Non-Parametric Regression Using Purely Random Trees | Dec 1, 2018 | Active LearningBinary Classification | CodeCode Available | 0 | 5 |
| Outlier-robust sparse/low-rank least-squares regression and robust matrix completion | Dec 12, 2020 | Matrix Completionregression | CodeCode Available | 0 | 5 |
| Computing AIC for black-box models using Generalised Degrees of Freedom: a comparison with cross-validation | Mar 9, 2016 | regression | CodeCode Available | 0 | 5 |
| A Generalization of Convolutional Neural Networks to Graph-Structured Data | Apr 26, 2017 | General Classificationregression | CodeCode Available | 0 | 5 |
| A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity Degradation | Feb 6, 2023 | Hybrid Machine Learningregression | CodeCode Available | 0 | 5 |
| Distributed Coordinate Descent for Generalized Linear Models with Regularization | Nov 7, 2016 | regression | CodeCode Available | 0 | 5 |
| Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations | May 24, 2013 | Gaussian Processesregression | CodeCode Available | 0 | 5 |
| Parallelizing Stochastic Gradient Descent for Least Squares Regression: mini-batching, averaging, and model misspecification | Oct 12, 2016 | regression | CodeCode Available | 0 | 5 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | CodeCode Available | 0 | 5 |
| Parametric PerceptNet: A bio-inspired deep-net trained for Image Quality Assessment | Dec 4, 2024 | Image Quality Assessmentregression | CodeCode Available | 0 | 5 |
| Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso | Feb 7, 2019 | regression | CodeCode Available | 0 | 5 |
| Parity Calibration | May 29, 2023 | Epidemiologyregression | CodeCode Available | 0 | 5 |
| Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift | Jan 22, 2020 | Domain AdaptationGeneral Classification | CodeCode Available | 0 | 5 |
| Partial Trace Regression and Low-Rank Kraus Decomposition | Jul 2, 2020 | Matrix Completionregression | CodeCode Available | 0 | 5 |
| Autofocused oracles for model-based design | Jun 14, 2020 | modelregression | CodeCode Available | 0 | 5 |
| DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine | Mar 17, 2020 | Multi-Object TrackingObject Tracking | CodeCode Available | 0 | 5 |
| Pathological Regularization Regimes in Classification Tasks | Jun 20, 2024 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression | Apr 7, 2021 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
