| Data augmentation as stochastic optimization | Sep 28, 2020 | Data Augmentationregression | —Unverified | 0 |
| Learning Binary Trees via Sparse Relaxation | Sep 28, 2020 | Clusteringregression | —Unverified | 0 |
| Regression to the Tail: Why the Olympics Blow Up | Sep 28, 2020 | Decision Makingregression | —Unverified | 0 |
| Graph convolutional regression of cardiac depolarization from sparse endocardial maps | Sep 28, 2020 | regression | —Unverified | 0 |
| Robust regression with covariate filtering: Heavy tails and adversarial contamination | Sep 27, 2020 | regression | —Unverified | 0 |
| A Statistical Learning Assessment of Huber Regression | Sep 27, 2020 | regression | —Unverified | 0 |
| Nonclassical Measurement Error in the Outcome Variable | Sep 26, 2020 | regression | —Unverified | 0 |
| Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems | Sep 25, 2020 | GPRregression | —Unverified | 0 |
| A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process | Sep 25, 2020 | Chemical ProcessFeature Importance | —Unverified | 0 |
| A physics-informed operator regression framework for extracting data-driven continuum models | Sep 25, 2020 | regression | CodeCode Available | 0 |
| Multilevel Gibbs Sampling for Bayesian Regression | Sep 25, 2020 | Bayesian InferenceClustering | —Unverified | 0 |
| Adversarial Examples in Deep Learning for Multivariate Time Series Regression | Sep 24, 2020 | Adversarial AttackDeep Learning | CodeCode Available | 1 |
| Boosting Algorithms for Delivery Time Prediction in Transportation Logistics | Sep 24, 2020 | Predictionregression | CodeCode Available | 0 |
| Rank-Based Multi-task Learning for Fair Regression | Sep 23, 2020 | FairnessMulti-Task Learning | —Unverified | 0 |
| Insights on Evaluation of Camera Re-localization Using Relative Pose Regression | Sep 23, 2020 | regression | —Unverified | 0 |
| Unfairness Discovery and Prevention For Few-Shot Regression | Sep 23, 2020 | FairnessMeta-Learning | —Unverified | 0 |
| An Intuitive Tutorial to Gaussian Process Regression | Sep 22, 2020 | BIG-bench Machine LearningGaussian Processes | CodeCode Available | 1 |
| Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts | Sep 22, 2020 | feature selectionMixture-of-Experts | —Unverified | 0 |
| Generalized Leverage Score Sampling for Neural Networks | Sep 21, 2020 | Learning Theoryregression | —Unverified | 0 |
| DR2S : Deep Regression with Region Selection for Camera Quality Evaluation | Sep 21, 2020 | regression | —Unverified | 0 |
| Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models | Sep 20, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 1 |
| Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction | Sep 19, 2020 | ClusteringDiversity | —Unverified | 0 |
| A Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers | Sep 19, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Explainable boosted linear regression for time series forecasting | Sep 18, 2020 | Decision MakingPrediction Intervals | —Unverified | 0 |
| Real-Time Optimization Meets Bayesian Optimization and Derivative-Free Optimization: A Tale of Modifier Adaptation | Sep 18, 2020 | Bayesian Optimizationregression | —Unverified | 0 |
