| Domain Generalization by Functional Regression | Feb 9, 2023 | Domain Generalizationregression | CodeCode Available | 0 | 5 |
| Dynamic Network Quantile Regression Model | Nov 15, 2021 | modelquantile regression | CodeCode Available | 0 | 5 |
| Additive Approximations in High Dimensional Nonparametric Regression via the SALSA | Jan 31, 2016 | Additive modelsregression | CodeCode Available | 0 | 5 |
| ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods | Dec 21, 2022 | Binary Classificationregression | CodeCode Available | 0 | 5 |
| Double Cross-fit Doubly Robust Estimators: Beyond Series Regression | Mar 22, 2024 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Dual Instrumental Variable Regression | Oct 27, 2019 | regression | CodeCode Available | 0 | 5 |
| Dlib-ml: A Machine Learning Toolkit | Jan 1, 2009 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Effective Non-Random Extreme Learning Machine | Nov 25, 2024 | 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 |
| Bayesian Learning via Stochastic Gradient Langevin Dynamics | Jul 28, 2011 | regression | CodeCode Available | 0 | 5 |
| DL-Reg: A Deep Learning Regularization Technique using Linear Regression | Oct 31, 2020 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Distribution Regression with Sliced Wasserstein Kernels | Feb 8, 2022 | regression | CodeCode Available | 0 | 5 |
| A Benchmarking Dataset with 2440 Organic Molecules for Volume Distribution at Steady State | Nov 10, 2022 | Benchmarkingfeature selection | CodeCode Available | 0 | 5 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data | Aug 31, 2021 | regression | CodeCode Available | 0 | 5 |
| Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach | Mar 22, 2023 | Model Discoveryregression | CodeCode Available | 0 | 5 |
| Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits | Feb 17, 2024 | Computational EfficiencyEfficient Exploration | CodeCode Available | 0 | 5 |
| Efficient online learning with kernels for adversarial large scale problems | Feb 26, 2019 | regression | CodeCode Available | 0 | 5 |
| Distributional Reinforcement Learning with Quantile Regression | Oct 27, 2017 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 | 5 |
| Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype | Sep 12, 2023 | Image ReconstructionPosition | CodeCode Available | 0 | 5 |
| Distribution-Free Predictive Inference For Regression | Apr 14, 2016 | Computational EfficiencyPrediction | CodeCode Available | 0 | 5 |
| Bayesian Approximate Kernel Regression with Variable Selection | Aug 5, 2015 | Binary Classificationregression | CodeCode Available | 0 | 5 |
| PDE-constrained Gaussian process surrogate modeling with uncertain data locations | May 19, 2023 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Distribution Regression in Duration Analysis: an Application to Unemployment Spells | Apr 12, 2019 | regression | 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 |
