| Computing Approximate _p Sensitivities | Nov 7, 2023 | Dimensionality Reductionregression | —Unverified | 0 |
| CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images | Nov 7, 2023 | regression | CodeCode Available | 0 |
| On regularized polynomial functional regression | Nov 6, 2023 | regression | —Unverified | 0 |
| FocusTune: Tuning Visual Localization through Focus-Guided Sampling | Nov 6, 2023 | regressionVisual Localization | CodeCode Available | 1 |
| Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box | Nov 6, 2023 | Object Detectionregression | CodeCode Available | 1 |
| Optimal Estimation Methodologies for Panel Data Regression Models | Nov 6, 2023 | Econometricsregression | —Unverified | 0 |
| Mobile Internet Quality Estimation using Self-Tuning Kernel Regression | Nov 4, 2023 | regressionWeather Forecasting | —Unverified | 0 |
| Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks | Nov 4, 2023 | Active LearningDecision Making | CodeCode Available | 0 |
| Predicting Ground Reaction Force from Inertial Sensors | Nov 4, 2023 | Hyperparameter Optimizationregression | —Unverified | 0 |
| Sample Complexity of Linear Regression Models for Opinion Formation in Networks | Nov 4, 2023 | Federated Learningregression | CodeCode Available | 0 |
| Forecasting Post-Wildfire Vegetation Recovery in California using a Convolutional Long Short-Term Memory Tensor Regression Network | Nov 4, 2023 | ClusteringManagement | —Unverified | 0 |
| Regularized Linear Regression for Binary Classification | Nov 3, 2023 | Binary ClassificationClassification | —Unverified | 0 |
| Changing the Kernel During Training Leads to Double Descent in Kernel Regression | Nov 3, 2023 | Model Selectionregression | CodeCode Available | 0 |
| Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing | Nov 3, 2023 | Autonomous RacingModel Predictive Control | —Unverified | 0 |
| Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression | Nov 3, 2023 | ClassificationPose Estimation | CodeCode Available | 0 |
| Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective | Nov 3, 2023 | Density Estimationquantile regression | —Unverified | 0 |
| Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis | Nov 2, 2023 | Density EstimationDiversity | CodeCode Available | 1 |
| Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms | Nov 2, 2023 | Binary ClassificationDomain Generalization | CodeCode Available | 1 |
| Impact of Investing Characteristics on Financial Performance of Individual Investors: An Exploratory Study | Nov 1, 2023 | regression | —Unverified | 0 |
| Improving Cardiovascular Disease Prediction Through Comparative Analysis of Machine Learning Models: A Case Study on Myocardial Infarction | Nov 1, 2023 | Disease Predictionregression | —Unverified | 0 |
| Robust and Conjugate Gaussian Process Regression | Nov 1, 2023 | Bayesian InferenceBayesian Optimisation | CodeCode Available | 0 |
| A Bi-level Framework for Traffic Accident Duration Prediction: Leveraging Weather and Road Condition Data within a Practical Optimum Pipeline | Nov 1, 2023 | Binary Classificationregression | —Unverified | 0 |
| Calibration by Distribution Matching: Trainable Kernel Calibration Metrics | Oct 31, 2023 | Decision Makingregression | CodeCode Available | 0 |
| Stochastic Time-Optimal Trajectory Planning for Connected and Automated Vehicles in Mixed-Traffic Merging Scenarios | Oct 31, 2023 | regressionTrajectory Planning | —Unverified | 0 |
| Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval | Oct 31, 2023 | DiversityGPR | —Unverified | 0 |
