| Calibrated Computation-Aware Gaussian Processes | Oct 11, 2024 | Gaussian Processesregression | CodeCode Available | 0 |
| Kolmogorov-Arnold Neural Networks for High-Entropy Alloys Design | Oct 11, 2024 | ClassificationKolmogorov-Arnold Networks | —Unverified | 0 |
| Scalable Signature-Based Distribution Regression via Reference Sets | Oct 11, 2024 | regression | —Unverified | 0 |
| Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison | Oct 11, 2024 | modelOutlier Detection | —Unverified | 0 |
| Ranking over Regression for Bayesian Optimization and Molecule Selection | Oct 11, 2024 | Bayesian OptimizationDecision Making | CodeCode Available | 0 |
| Robustness Auditing for Linear Regression: To Singularity and Beyond | Oct 10, 2024 | Econometricsregression | CodeCode Available | 0 |
| Theoretical limits of descending _0 sparse-regression ML algorithms | Oct 10, 2024 | compressed sensingregression | —Unverified | 0 |
| On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks | Oct 10, 2024 | Kolmogorov-Arnold Networksregression | —Unverified | 0 |
| Optimizing Estimators of Squared Calibration Errors in Classification | Oct 9, 2024 | ClassificationDecision Making | —Unverified | 0 |
| Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression | Oct 8, 2024 | Quantizationregression | —Unverified | 0 |
| Closed-Loop phase selection in EEG-TMS using Bayesian Optimization | Oct 8, 2024 | Bayesian OptimizationEEG | CodeCode Available | 0 |
| Benign Overfitting for Regression with Trained Two-Layer ReLU Networks | Oct 8, 2024 | regression | —Unverified | 0 |
| Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC | Oct 8, 2024 | GPRModel Predictive Control | —Unverified | 0 |
| Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression | Oct 8, 2024 | regression | —Unverified | 0 |
| SMART: A Flexible Approach to Regression using Spline-Based Multivariate Adaptive Regression Trees | Oct 8, 2024 | regression | CodeCode Available | 0 |
| Random-projection ensemble dimension reduction | Oct 7, 2024 | Dimensionality Reductionregression | CodeCode Available | 0 |
| Precise Model Benchmarking with Only a Few Observations | Oct 7, 2024 | Benchmarkingmodel | —Unverified | 0 |
| Testing Credibility of Public and Private Surveys through the Lens of Regression | Oct 7, 2024 | regressionSurvey | —Unverified | 0 |
| Conditional Variational Autoencoders for Probabilistic Pose Regression | Oct 7, 2024 | regression | —Unverified | 0 |
| Regression Conformal Prediction under Bias | Oct 7, 2024 | Computed Tomography (CT)Conformal Prediction | CodeCode Available | 0 |
| A Strategy for Label Alignment in Deep Neural Networks | Oct 7, 2024 | Domain Adaptationregression | CodeCode Available | 0 |
| Minimax-optimal and Locally-adaptive Online Nonparametric Regression | Oct 4, 2024 | regression | —Unverified | 0 |
| Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection | Oct 3, 2024 | feature selectionregression | —Unverified | 0 |
| Distributed Learning with Discretely Observed Functional Data | Oct 3, 2024 | regression | —Unverified | 0 |
| Accelerating Deep Learning with Fixed Time Budget | Oct 3, 2024 | Deep LearningFederated Learning | —Unverified | 0 |