| Fast, Provable Algorithms for Isotonic Regression in all _p-norms | Jul 2, 2015 | Allregression | CodeCode Available | 0 | 5 |
| Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge | Apr 14, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice | May 22, 2023 | regressionReinforcement Learning (RL) | CodeCode Available | 0 | 5 |
| Regularization properties of adversarially-trained linear regression | Oct 16, 2023 | regression | CodeCode Available | 0 | 5 |
| A Unified Approach to Inferring Chemical Compounds with the Desired Aqueous Solubility | Sep 6, 2024 | Drug Discoveryregression | CodeCode Available | 0 | 5 |
| Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise | Jun 5, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 | 5 |
| Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction | Mar 18, 2025 | Conformal PredictionPrediction | CodeCode Available | 0 | 5 |
| RelNN: A Deep Neural Model for Relational Learning | Dec 7, 2017 | modelregression | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | 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 |
| Continuous Weight Balancing | Mar 30, 2021 | regression | CodeCode Available | 0 | 5 |
| Distributed Time-Varying Gaussian Regression via Kalman Filtering | Apr 21, 2025 | regression | CodeCode Available | 0 | 5 |
| Distributed Coordinate Descent for L1-regularized Logistic Regression | Nov 24, 2014 | regression | CodeCode Available | 0 | 5 |
| Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach | Apr 6, 2024 | Pseudo Labelregression | CodeCode Available | 0 | 5 |
| Distributed Coordinate Descent for Generalized Linear Models with Regularization | Nov 7, 2016 | regression | CodeCode Available | 0 | 5 |
| Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective | Jan 31, 2019 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
| Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models | Jan 14, 2025 | regression | CodeCode Available | 0 | 5 |
| Artificial Neural Network Modeling for Path Loss Prediction in Urban Environments | Apr 4, 2019 | regression | CodeCode Available | 0 | 5 |
| Distributed Function Minimization in Apache Spark | Sep 17, 2019 | General Classificationregression | CodeCode Available | 0 | 5 |
| Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge | Jan 26, 2023 | regression | CodeCode Available | 0 | 5 |
| Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information Bottleneck | May 24, 2024 | counterfactualregression | CodeCode Available | 0 | 5 |
| Alternating Minimization for Regression with Tropical Rational Functions | May 31, 2023 | regression | CodeCode Available | 0 | 5 |
| Contrastive Visual-Linguistic Pretraining | Jul 26, 2020 | Contrastive Learningregression | 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 |
| Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery | May 13, 2024 | quantile regressionregression | 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 |
| Reward-Weighted Regression Converges to a Global Optimum | Jul 19, 2021 | regressionReinforcement Learning (RL) | 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 |
| Distilled Neural Networks for Efficient Learning to Rank | Feb 22, 2022 | CPUInformation Retrieval | CodeCode Available | 0 | 5 |
| Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling | Dec 1, 2018 | regression | CodeCode Available | 0 | 5 |
| Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling | Mar 15, 2018 | regression | CodeCode Available | 0 | 5 |
| Distilling Governing Laws and Source Input for Dynamical Systems from Videos | May 3, 2022 | regression | CodeCode Available | 0 | 5 |
| Distance Estimation Methods for a Practical Macroscale Molecular Communication System | Sep 27, 2019 | parameter estimationregression | CodeCode Available | 0 | 5 |
| Distance approximation to support customer selection in vehicle routing problems | Apr 7, 2022 | regressionTraveling Salesman Problem | CodeCode Available | 0 | 5 |
| Robust and Conjugate Gaussian Process Regression | Nov 1, 2023 | Bayesian InferenceBayesian Optimisation | CodeCode Available | 0 | 5 |
| Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows | May 27, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression | Aug 17, 2023 | Age EstimationDepth Aleatoric Uncertainty Estimation | CodeCode Available | 0 | 5 |
| Discrete-Constrained Regression for Local Counting Models | Jul 20, 2022 | Age EstimationClassification | CodeCode Available | 0 | 5 |
| Robust Boosting for Regression Problems | Feb 6, 2020 | regressionVariable Selection | 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 |
| Robust Geodesic Regression | Jul 9, 2020 | regression | CodeCode Available | 0 | 5 |
| Robust Local Polynomial Regression with Similarity Kernels | Jan 18, 2025 | Density Estimationregression | CodeCode Available | 0 | 5 |
| Distributional Adaptive Soft Regression Trees | Oct 19, 2022 | regression | CodeCode Available | 0 | 5 |
| Robust Optimization for Deep Regression | May 25, 2015 | Age Estimationobject-detection | CodeCode Available | 0 | 5 |
| Robust priors for regularized regression | Oct 6, 2020 | regression | CodeCode Available | 0 | 5 |
| A Tutorial on Bayesian Optimization | Jul 8, 2018 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 0 | 5 |
| Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation | Apr 26, 2017 | AstronomyDensity Estimation | CodeCode Available | 0 | 5 |
| Direct Regression of Distortion Field from a Single Fingerprint Image | Apr 26, 2024 | regression | CodeCode Available | 0 | 5 |
| Attribute Inference Attacks for Federated Regression Tasks | Nov 19, 2024 | AttributeFederated Learning | CodeCode Available | 0 | 5 |
