| SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees | Oct 8, 2024 | regression | CodeCode Available | 0 |
| Testing Credibility of Public and Private Surveys through the Lens of Regression | Oct 7, 2024 | regressionSurvey | —Unverified | 0 |
| A Strategy for Label Alignment in Deep Neural Networks | Oct 7, 2024 | Domain Adaptationregression | CodeCode Available | 0 |
| Random-projection ensemble dimension reduction | Oct 7, 2024 | Dimensionality Reductionregression | CodeCode Available | 0 |
| Conditional Variational Autoencoders for Probabilistic Pose Regression | Oct 7, 2024 | regression | —Unverified | 0 |
| Precise Model Benchmarking with Only a Few Observations | Oct 7, 2024 | Benchmarkingmodel | —Unverified | 0 |
| Regression Conformal Prediction under Bias | Oct 7, 2024 | Computed Tomography (CT)Conformal Prediction | CodeCode Available | 0 |
| Minimax-optimal and Locally-adaptive Online Nonparametric Regression | Oct 4, 2024 | regression | —Unverified | 0 |
| Test-time Adaptation for Regression by Subspace Alignment | Oct 4, 2024 | regressionTest-time Adaptation | CodeCode Available | 1 |
| Mixed-curvature decision trees and random forests | Oct 3, 2024 | Link Predictionregression | CodeCode Available | 2 |
| Accelerating Deep Learning with Fixed Time Budget | Oct 3, 2024 | Deep LearningFederated Learning | —Unverified | 0 |
| Minmax Trend Filtering: Generalizations of Total Variation Denoising via a Local Minmax/Maxmin Formula | Oct 3, 2024 | Denoisingregression | —Unverified | 0 |
| Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression | Oct 3, 2024 | regression | CodeCode Available | 0 |
| Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection | Oct 3, 2024 | feature selectionregression | —Unverified | 0 |
| Highly Adaptive Ridge | Oct 3, 2024 | regression | —Unverified | 0 |
| Distributed Learning with Discretely Observed Functional Data | Oct 3, 2024 | regression | —Unverified | 0 |
| Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks | Oct 3, 2024 | Diversityregression | —Unverified | 0 |
| On metric choice in dimension reduction for Fréchet regression | Oct 2, 2024 | Dimensionality Reductionregression | —Unverified | 0 |
| Causal Inference Tools for a Better Evaluation of Machine Learning | Oct 2, 2024 | Causal InferenceEconometrics | —Unverified | 0 |
| HelpSteer2-Preference: Complementing Ratings with Preferences | Oct 2, 2024 | regression | —Unverified | 0 |
| Attention layers provably solve single-location regression | Oct 2, 2024 | regression | CodeCode Available | 0 |
| Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks | Oct 2, 2024 | Meta-Learningregression | —Unverified | 0 |
| TorchSISSO: A PyTorch-Based Implementation of the Sure Independence Screening and Sparsifying Operator for Efficient and Interpretable Model Discovery | Oct 2, 2024 | GPUModel Discovery | CodeCode Available | 1 |
| Bayesian Binary Search | Oct 2, 2024 | Density Estimationquantile regression | —Unverified | 0 |
| Transformers Handle Endogeneity in In-Context Linear Regression | Oct 2, 2024 | regression | —Unverified | 0 |