| Learning Functional Priors and Posteriors from Data and Physics | Jun 8, 2021 | Meta-Learningregression | —Unverified | 0 |
| Predicting the Popularity of Reddit Posts with AI | Jun 8, 2021 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Automation for Interpretable Machine Learning Through a Comparison of Loss Functions to Regularisers | Jun 7, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 |
| DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting | Jun 7, 2021 | regressionTime Series | —Unverified | 0 |
| Stateful Strategic Regression | Jun 7, 2021 | Decision Makingregression | —Unverified | 0 |
| AI without networks | Jun 7, 2021 | Model Selectionregression | —Unverified | 0 |
| Statistical Inference for High-Dimensional Linear Regression with Blockwise Missing Data | Jun 7, 2021 | Imputationregression | CodeCode Available | 0 |
| Can a single neuron learn predictive uncertainty? | Jun 7, 2021 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
| How to Evaluate Uncertainty Estimates in Machine Learning for Regression? | Jun 7, 2021 | BIG-bench Machine LearningPrediction | —Unverified | 0 |
| Pointwise visual field estimation from optical coherence tomography in glaucoma: a structure-function analysis using deep learning | Jun 7, 2021 | Managementregression | —Unverified | 0 |
| RegMix: Data Mixing Augmentation for Regression | Jun 7, 2021 | ClassificationData Augmentation | —Unverified | 0 |
| Learning a performance metric of Buchberger's algorithm | Jun 7, 2021 | regression | CodeCode Available | 0 |
| Linear Rescaling to Accurately Interpret Logarithms | Jun 6, 2021 | regression | —Unverified | 0 |
| The Fine-Grained Hardness of Sparse Linear Regression | Jun 6, 2021 | regression | —Unverified | 0 |
| Adiabatic Quantum Feature Selection for Sparse Linear Regression | Jun 4, 2021 | feature selectionregression | —Unverified | 0 |
| COVID-19 cases prediction using regression and novel SSM model for non-converged countries | Jun 4, 2021 | regression | —Unverified | 0 |
| Out-of-Distribution Generalization in Kernel Regression | Jun 4, 2021 | BIG-bench Machine LearningOut-of-Distribution Generalization | CodeCode Available | 0 |
| Credit spread approximation and improvement using random forest regression | Jun 4, 2021 | regression | —Unverified | 0 |
| Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence | Jun 3, 2021 | object-detectionObject Detection | —Unverified | 0 |
| Linear regression with partially mismatched data: local search with theoretical guarantees | Jun 3, 2021 | regression | —Unverified | 0 |
| Gaussian Processes on Hypergraphs | Jun 3, 2021 | Gaussian ProcessesMulti-class Classification | —Unverified | 0 |
| Gradient Boosted Binary Histogram Ensemble for Large-scale Regression | Jun 3, 2021 | Computational EfficiencyEnsemble Learning | —Unverified | 0 |
| Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning | Jun 3, 2021 | regression | —Unverified | 0 |
| Bayesian Inference for Gamma Models | Jun 3, 2021 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Three-dimensional Epanechnikov mixture regression in image coding | Jun 3, 2021 | regression | —Unverified | 0 |