| Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13 | Apr 8, 2023 | Managementregression | CodeCode Available | 0 |
| Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification | Apr 8, 2023 | Out-of-Distribution Detectionregression | CodeCode Available | 0 |
| Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic Regression | Apr 7, 2023 | C++ codePrivacy Preserving | CodeCode Available | 0 |
| Compressed Regression over Adaptive Networks | Apr 7, 2023 | regression | —Unverified | 0 |
| Conformal Regression in Calorie Prediction for Team Jumbo-Visma | Apr 6, 2023 | Conformal PredictionDecision Making | —Unverified | 0 |
| Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting | Apr 6, 2023 | Load ForecastingPrediction | —Unverified | 0 |
| Cascaded Calibration of Mechatronic Systems via Bayesian Inference | Apr 6, 2023 | Bayesian InferencePosition | —Unverified | 0 |
| Multi-Linear Kernel Regression and Imputation in Data Manifolds | Apr 6, 2023 | Dimensionality ReductionImputation | —Unverified | 0 |
| A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction | Apr 6, 2023 | Active Learningregression | —Unverified | 0 |
| Data-driven HVAC Control Using Symbolic Regression: Design and Implementation | Apr 6, 2023 | energy managementManagement | —Unverified | 0 |
| Mixed Regression via Approximate Message Passing | Apr 5, 2023 | DenoisingMixture-of-Experts | —Unverified | 0 |
| Optimal Sketching Bounds for Sparse Linear Regression | Apr 5, 2023 | regression | —Unverified | 0 |
| Self-Distillation for Gaussian Process Regression and Classification | Apr 5, 2023 | ClassificationGPR | CodeCode Available | 0 |
| Conformalized Unconditional Quantile Regression | Apr 4, 2023 | Conformal PredictionEconometrics | —Unverified | 0 |
| Optimal rates of approximation by shallow ReLU^k neural networks and applications to nonparametric regression | Apr 4, 2023 | regression | —Unverified | 0 |
| Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition | Apr 3, 2023 | Bayesian OptimizationEvolutionary Algorithms | —Unverified | 0 |
| Multi-Agent Reachability Calibration with Conformal Prediction | Apr 2, 2023 | Autonomous DrivingConformal Prediction | —Unverified | 0 |
| IV Regressions without Exclusion Restrictions | Apr 2, 2023 | regression | —Unverified | 0 |
| An interpretable neural network-based non-proportional odds model for ordinal regression | Mar 31, 2023 | regression | CodeCode Available | 0 |
| Maximum Covariance Unfolding Regression: A Novel Covariate-based Manifold Learning Approach for Point Cloud Data | Mar 31, 2023 | Dimensionality Reductionregression | —Unverified | 0 |
| Almost Linear Constant-Factor Sketching for _1 and Logistic Regression | Mar 31, 2023 | regression | CodeCode Available | 0 |
| Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference | Mar 30, 2023 | DenoisingImage Denoising | —Unverified | 0 |
| A Note On Nonlinear Regression Under L2 Loss | Mar 30, 2023 | regression | —Unverified | 0 |
| Sasaki Metric for Spline Models of Manifold-Valued Trajectories | Mar 30, 2023 | regression | CodeCode Available | 0 |
| Correcting for Selection Bias and Missing Response in Regression using Privileged Information | Mar 29, 2023 | Imputationregression | CodeCode Available | 0 |