| A Deterministic Streaming Sketch for Ridge Regression | Feb 5, 2020 | regression | CodeCode Available | 0 |
| Sharpe Ratio Analysis in High Dimensions: Residual-Based Nodewise Regression in Factor Models | Feb 5, 2020 | regressionTime Series Analysis | —Unverified | 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 |
| Tensor-to-Vector Regression for Multi-channel Speech Enhancement based on Tensor-Train Network | Feb 3, 2020 | regressionSpeech Enhancement | CodeCode Available | 1 |
| Scoring Graspability based on Grasp Regression for Better Grasp Prediction | Feb 3, 2020 | regression | —Unverified | 0 |
| Linearly Constrained Gaussian Processes with Boundary Conditions | Feb 3, 2020 | Gaussian Processesregression | —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 |
| A Sparsity Inducing Nuclear-Norm Estimator (SpINNEr) for Matrix-Variate Regression in Brain Connectivity Analysis | Jan 30, 2020 | Functional Connectivityregression | CodeCode Available | 0 |
| Statistical Tests and Confidential Intervals as Thresholds for Quantum Neural Networks | Jan 30, 2020 | regression | —Unverified | 0 |
| Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion | Jan 30, 2020 | Clusteringobject-detection | —Unverified | 0 |
| A Graph-Based Approach for Active Learning in Regression | Jan 30, 2020 | Active Learningregression | —Unverified | 0 |
| Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm | Jan 30, 2020 | regression | —Unverified | 0 |
| Transport Gaussian Processes for Regression | Jan 30, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions | Jan 29, 2020 | regressionvalid | —Unverified | 0 |
| Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions | Jan 29, 2020 | regressionUncertainty Quantification | —Unverified | 0 |
| Blocked Clusterwise Regression | Jan 29, 2020 | ClusteringEconometrics | —Unverified | 0 |
| Bayesian Reasoning with Trained Neural Networks | Jan 29, 2020 | Bayesian Inferenceregression | —Unverified | 0 |
| Improving Generalizability of Fake News Detection Methods using Propensity Score Matching | Jan 28, 2020 | Fake News Detectionregression | CodeCode Available | 1 |
| A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators | Jan 28, 2020 | 6D Pose Estimation using RGBAutonomous Driving | —Unverified | 0 |
| Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption | Jan 28, 2020 | BIG-bench Machine LearningPrivacy Preserving | —Unverified | 0 |
