| Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks | Feb 7, 2020 | Gaussian Processesregression | CodeCode Available | 0 |
| Conditional Deep Gaussian Processes: multi-fidelity kernel learning | Feb 7, 2020 | Few-Shot LearningGaussian Processes | CodeCode Available | 0 |
| Logistic Regression Regret: What's the Catch? | Feb 7, 2020 | regression | —Unverified | 0 |
| Subsampling Winner Algorithm for Feature Selection in Large Regression Data | Feb 7, 2020 | feature selectionregression | —Unverified | 0 |
| Nonparametric Regression Quantum Neural Networks | Feb 7, 2020 | regression | —Unverified | 0 |
| Robust Boosting for Regression Problems | Feb 6, 2020 | regressionVariable Selection | CodeCode Available | 0 |
| Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism | Feb 6, 2020 | Model extractionregression | —Unverified | 0 |
| Interpolating Predictors in High-Dimensional Factor Regression | Feb 6, 2020 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation | Feb 6, 2020 | Distance regressionImage Augmentation | —Unverified | 0 |
| A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia | Feb 6, 2020 | regressionSpecificity | —Unverified | 0 |
| Sharpe Ratio Analysis in High Dimensions: Residual-Based Nodewise Regression in Factor Models | Feb 5, 2020 | regressionTime Series Analysis | —Unverified | 0 |
| A Deterministic Streaming Sketch for Ridge Regression | Feb 5, 2020 | regression | CodeCode Available | 0 |
| Uncertainty Quantification for Bayesian Optimization | Feb 4, 2020 | Bayesian Optimizationglobal-optimization | —Unverified | 0 |
| A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation | Feb 4, 2020 | regressionUnity | —Unverified | 0 |
| Linearly Constrained Gaussian Processes with Boundary Conditions | Feb 3, 2020 | Gaussian Processesregression | —Unverified | 0 |
| Scoring Graspability based on Grasp Regression for Better Grasp Prediction | Feb 3, 2020 | regression | —Unverified | 0 |
| Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree | Feb 2, 2020 | compressed sensingregression | CodeCode Available | 0 |
| Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving | Feb 1, 2020 | 3D Object DetectionAutonomous Driving | —Unverified | 0 |
| Stable Prediction with Model Misspecification and Agnostic Distribution Shift | Jan 31, 2020 | parameter estimationPrediction | —Unverified | 0 |
| A memory of motion for visual predictive control tasks | Jan 31, 2020 | regression | —Unverified | 0 |
| Learning Deep Analysis Dictionaries for Image Super-Resolution | Jan 31, 2020 | ClusteringImage Super-Resolution | —Unverified | 0 |
| Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm | Jan 30, 2020 | regression | —Unverified | 0 |
| A Graph-Based Approach for Active Learning in Regression | Jan 30, 2020 | Active Learningregression | —Unverified | 0 |
| Transport Gaussian Processes for Regression | Jan 30, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion | Jan 30, 2020 | Clusteringobject-detection | —Unverified | 0 |
