| Conditional Density Estimation with Histogram Trees | Oct 15, 2024 | Density Estimationregression | CodeCode Available | 0 |
| A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals | Oct 14, 2024 | Dimensionality ReductionFederated Learning | —Unverified | 0 |
| Optimal lower bounds for logistic log-likelihoods | Oct 14, 2024 | Bayesian Inferenceregression | —Unverified | 0 |
| Statistical Properties of Deep Neural Networks with Dependent Data | Oct 14, 2024 | regressionTime Series | —Unverified | 0 |
| Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why? | Oct 14, 2024 | DiagnosticLarge Language Model | —Unverified | 0 |
| Predicting from Strings: Language Model Embeddings for Bayesian Optimization | Oct 14, 2024 | Bayesian OptimizationExperimental Design | CodeCode Available | 3 |
| A Kernelizable Primal-Dual Formulation of the Multilinear Singular Value Decomposition | Oct 14, 2024 | regression | —Unverified | 0 |
| Data Deletion for Linear Regression with Noisy SGD | Oct 12, 2024 | regression | —Unverified | 0 |
| Minimax rates of convergence for nonparametric regression under adversarial attacks | Oct 12, 2024 | regression | —Unverified | 0 |
| Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions | Oct 12, 2024 | regressionTime Series Forecasting | CodeCode Available | 0 |
| Scalable Signature-Based Distribution Regression via Reference Sets | Oct 11, 2024 | regression | —Unverified | 0 |
| Ranking over Regression for Bayesian Optimization and Molecule Selection | Oct 11, 2024 | Bayesian OptimizationDecision Making | CodeCode Available | 0 |
| 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 |
| Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison | Oct 11, 2024 | modelOutlier Detection | —Unverified | 0 |
| Theoretical limits of descending _0 sparse-regression ML algorithms | Oct 10, 2024 | compressed sensingregression | —Unverified | 0 |
| Robustness Auditing for Linear Regression: To Singularity and Beyond | Oct 10, 2024 | Econometricsregression | CodeCode Available | 0 |
| On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks | Oct 10, 2024 | Kolmogorov-Arnold Networksregression | —Unverified | 0 |
| Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression | Oct 9, 2024 | Computational Efficiencyfeature selection | CodeCode Available | 1 |
| Optimizing Estimators of Squared Calibration Errors in Classification | Oct 9, 2024 | ClassificationDecision Making | —Unverified | 0 |
| Closed-Loop phase selection in EEG-TMS using Bayesian Optimization | Oct 8, 2024 | Bayesian OptimizationEEG | CodeCode Available | 0 |
| Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC | Oct 8, 2024 | GPRModel Predictive Control | —Unverified | 0 |
| Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression | Oct 8, 2024 | Quantizationregression | —Unverified | 0 |
| Benign Overfitting for Regression with Trained Two-Layer ReLU Networks | Oct 8, 2024 | regression | —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 |
| 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 |