| A Cluster Elastic Net for Multivariate Regression | Jul 12, 2017 | Clusteringregression | —Unverified | 0 | 0 |
| A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation | Feb 14, 2020 | Evolutionary AlgorithmsVariable Selection | —Unverified | 0 | 0 |
| A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife | Jun 19, 2017 | Selection biasVariable Selection | —Unverified | 0 | 0 |
| A Comparison of Variable Selection Methods for Blockwise Diagonal Designs | Sep 29, 2021 | Variable Selection | —Unverified | 0 | 0 |
| A convex formulation for high-dimensional sparse sliced inverse regression | Sep 17, 2018 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| Active learning for binary classification with variable selection | Jan 29, 2019 | Active LearningBinary Classification | —Unverified | 0 | 0 |
| Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis | Sep 29, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
| Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models | Apr 18, 2022 | Data AugmentationEnsemble Learning | —Unverified | 0 | 0 |
| A Differentiable Rank-Based Objective For Better Feature Learning | Feb 13, 2025 | FairnessVariable Selection | —Unverified | 0 | 0 |
| A Discrete CVAE for Response Generation on Short-Text Conversation | Nov 22, 2019 | DecoderDiversity | —Unverified | 0 | 0 |
| A Fast Non-parametric Approach for Local Causal Structure Learning | Nov 29, 2021 | Variable Selection | —Unverified | 0 | 0 |
| A general multiblock method for structured variable selection | Oct 29, 2016 | Variable Selection | —Unverified | 0 | 0 |
| A gradient-based variable selection for binary classification in reproducing kernel Hilbert space | Sep 29, 2021 | Binary ClassificationVariable Selection | —Unverified | 0 | 0 |
| A Graphical Approach to State Variable Selection in Off-policy Learning | Jan 1, 2025 | Causal InferenceDimensionality Reduction | —Unverified | 0 | 0 |
| Data-Driven Bayesian Network Models of Hurricane Evacuation Decision Making | Nov 16, 2023 | Decision MakingVariable Selection | —Unverified | 0 | 0 |
| A least distance estimator for a multivariate regression model using deep neural networks | Jan 6, 2024 | regressionVariable Selection | —Unverified | 0 | 0 |
| Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy | Jun 8, 2023 | Time Seriesvalid | —Unverified | 0 | 0 |
| A machine learning framework for neighbor generation in metaheuristic search | Dec 22, 2022 | Combinatorial OptimizationVariable Selection | —Unverified | 0 | 0 |
| A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations | Aug 31, 2016 | feature selectionVariable Selection | —Unverified | 0 | 0 |
| A Multi-objective Exploratory Procedure for Regression Model Selection | Mar 28, 2012 | Decision MakingModel Selection | —Unverified | 0 | 0 |
| An ADMM approach for multi-response regression with overlapping groups and interaction effects | Mar 20, 2023 | parameter estimationregression | —Unverified | 0 | 0 |
| An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection | Jan 6, 2020 | Feature ImportanceVariable Selection | —Unverified | 0 | 0 |
| An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines | Sep 11, 2018 | General ClassificationVariable Selection | —Unverified | 0 | 0 |
| An Efficient Augmented Lagrangian Based Method for Constrained Lasso | Mar 12, 2019 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| An Efficient Shapley Value Computation for the Naive Bayes Classifier | Jul 31, 2023 | Variable Selection | —Unverified | 0 | 0 |