| Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms | Jun 25, 2023 | Diversityregression | —Unverified | 0 |
| Stance Prediction and Analysis of Twitter data : A case study of Ghana 2020 Presidential Elections | Jun 25, 2023 | regressionSentiment Analysis | CodeCode Available | 0 |
| Near Optimal Heteroscedastic Regression with Symbiotic Learning | Jun 25, 2023 | Econometricsregression | —Unverified | 0 |
| A Unified Approach to Controlling Implicit Regularization via Mirror Descent | Jun 24, 2023 | Classificationregression | —Unverified | 0 |
| Adversarial Robustness Certification for Bayesian Neural Networks | Jun 23, 2023 | Adversarial RobustnessCollision Avoidance | CodeCode Available | 0 |
| Factor-augmented sparse MIDAS regressions with an application to nowcasting | Jun 23, 2023 | Dimensionality Reductionregression | —Unverified | 0 |
| Outlier-robust Estimation of a Sparse Linear Model Using Invexity | Jun 22, 2023 | regression | —Unverified | 0 |
| Uniform Convergence with Square-Root Lipschitz Loss | Jun 22, 2023 | regressionRetrieval | —Unverified | 0 |
| An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression | Jun 22, 2023 | regression | —Unverified | 0 |
| Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study | Jun 21, 2023 | regression | —Unverified | 0 |
| Explaining human body responses in random vibration: Effect of motion direction, sitting posture, and anthropometry | Jun 21, 2023 | regression | —Unverified | 0 |
| Accurate Calibration of Power Measurements from Internal Power Sensors on NVIDIA Jetson Devices | Jun 19, 2023 | Edge-computingregression | —Unverified | 0 |
| Nonlinear Feature Aggregation: Two Algorithms driven by Theory | Jun 19, 2023 | Dimensionality Reductionfeature selection | —Unverified | 0 |
| BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming | Jun 19, 2023 | Adversarial RobustnessComputational Efficiency | CodeCode Available | 0 |
| Prediction model for rare events in longitudinal follow-up and resampling methods | Jun 19, 2023 | regression | —Unverified | 0 |
| Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation | Jun 19, 2023 | DiversityImputation | CodeCode Available | 0 |
| Stock Price Prediction using Dynamic Neural Networks | Jun 18, 2023 | Dynamic neural networksPrediction | —Unverified | 0 |
| Weakly Supervised Regression with Interval Targets | Jun 18, 2023 | regression | —Unverified | 0 |
| Dropout Regularization Versus _2-Penalization in the Linear Model | Jun 18, 2023 | L2 Regularizationregression | —Unverified | 0 |
| Deep Huber quantile regression networks | Jun 17, 2023 | quantile regressionregression | —Unverified | 0 |
| Prototype Learning for Explainable Brain Age Prediction | Jun 16, 2023 | Predictionregression | —Unverified | 0 |
| Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking | Jun 16, 2023 | Positionregression | —Unverified | 0 |
| Trained Transformers Learn Linear Models In-Context | Jun 16, 2023 | In-Context Learningregression | —Unverified | 0 |
| Partial-Label Regression | Jun 15, 2023 | Partial Label Learningregression | CodeCode Available | 0 |
| Modelling and Forecasting Macroeconomic Risk with Time Varying Skewness Stochastic Volatility Models | Jun 15, 2023 | quantile regressionregression | —Unverified | 0 |
| Performance Evaluation and Comparison of a New Regression Algorithm | Jun 15, 2023 | regression | —Unverified | 0 |
| Regression-Based Model Error Compensation for Hierarchical MPC Building Energy Management System | Jun 15, 2023 | energy managementManagement | —Unverified | 0 |
| A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening | Jun 15, 2023 | Graph Classificationregression | CodeCode Available | 0 |
| Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression | Jun 14, 2023 | regression | CodeCode Available | 0 |
| Nonparametric regression using over-parameterized shallow ReLU neural networks | Jun 14, 2023 | regression | —Unverified | 0 |
| Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression | Jun 14, 2023 | Computational Efficiencyregression | —Unverified | 0 |
| Predicting Wireless Channel Quality by means of Moving Averages and Regression Models | Jun 14, 2023 | regression | —Unverified | 0 |
| Integrating Uncertainty Awareness into Conformalized Quantile Regression | Jun 14, 2023 | Prediction Intervalsquantile regression | CodeCode Available | 0 |
| Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning | Jun 14, 2023 | Bayesian Inferenceregression | —Unverified | 0 |
| Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati | Jun 12, 2023 | Classificationregression | CodeCode Available | 0 |
| Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting Approach | Jun 11, 2023 | regressionTime Series | CodeCode Available | 1 |
| Novel Regression and Least Square Support Vector Machine Learning Technique for Air Pollution Forecasting | Jun 11, 2023 | regression | —Unverified | 0 |
| Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression | Jun 11, 2023 | AttributeEmotion Recognition | CodeCode Available | 1 |
| Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing | Jun 11, 2023 | Probabilistic Deep Learningregression | CodeCode Available | 0 |
| Hinting Pipeline and Multivariate Regression CNN for Maize Kernel Counting on the Ear | Jun 11, 2023 | Decision Makingregression | —Unverified | 0 |
| Differentially private sliced inverse regression in the federated paradigm | Jun 10, 2023 | Dimensionality Reductionregression | —Unverified | 0 |
| Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity | Jun 9, 2023 | Multi-Armed Banditsregression | —Unverified | 0 |
| Advancing Counterfactual Inference through Nonlinear Quantile Regression | Jun 9, 2023 | counterfactualCounterfactual Inference | —Unverified | 0 |
| Bayes optimal learning in high-dimensional linear regression with network side information | Jun 9, 2023 | regression | —Unverified | 0 |
| Monte Carlo inference for semiparametric Bayesian regression | Jun 8, 2023 | Gaussian Processesquantile regression | —Unverified | 0 |
| Robust Brain Age Estimation via Regression Models and MRI-derived Features | Jun 8, 2023 | Age Estimationregression | —Unverified | 0 |
| In-Context Learning through the Bayesian Prism | Jun 8, 2023 | Bayesian InferenceIn-Context Learning | CodeCode Available | 0 |
| A Melting Pot of Evolution and Learning | Jun 8, 2023 | ClassificationDeep Learning | —Unverified | 0 |
| Stratification of uncertainties recalibrated by isotonic regression and its impact on calibration error statistics | Jun 8, 2023 | regression | CodeCode Available | 0 |
| Estimating Koopman operators with sketching to provably learn large scale dynamical systems | Jun 7, 2023 | Computational Efficiencyregression | CodeCode Available | 1 |