| The Backbone Method for Ultra-High Dimensional Sparse Machine Learning | Jun 11, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization | Jun 11, 2020 | regression | —Unverified | 0 |
| Asymptotics of Ridge (less) Regression under General Source Condition | Jun 11, 2020 | regression | —Unverified | 0 |
| Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis | Jun 10, 2020 | ManagementPrognosis | —Unverified | 0 |
| Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric | Jun 10, 2020 | General Classificationregression | —Unverified | 0 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 |
| 3D Human Mesh Regression with Dense Correspondence | Jun 10, 2020 | 3D Human Pose Estimation3D Human Reconstruction | CodeCode Available | 1 |
| Distribution Regression for Sequential Data | Jun 10, 2020 | regressionTime Series | —Unverified | 0 |
| Gaussian Gated Linear Networks | Jun 10, 2020 | DenoisingDensity Estimation | CodeCode Available | 0 |
| On the Optimal Weighted _2 Regularization in Overparameterized Linear Regression | Jun 10, 2020 | regression | —Unverified | 0 |
| On Coresets For Regularized Regression | Jun 9, 2020 | regression | CodeCode Available | 0 |
| A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent | Jun 9, 2020 | regression | —Unverified | 0 |
| Coresets for Near-Convex Functions | Jun 9, 2020 | regressionSensitivity | —Unverified | 0 |
| Vocal markers from sustained phonation in Huntington's Disease | Jun 9, 2020 | regression | CodeCode Available | 1 |
| SALD: Sign Agnostic Learning with Derivatives | Jun 9, 2020 | 3D geometryregression | CodeCode Available | 1 |
| Parameter Optimization for Learning-based Control of Control-Affine Systems | Jun 8, 2020 | regression | —Unverified | 0 |
| Learning Constrained Dynamics with Gauss' Principle adhering Gaussian Processes | Jun 8, 2020 | Gaussian Processesregression | CodeCode Available | 0 |
| L1-GP: L1 Adaptive Control with Bayesian Learning | Jun 8, 2020 | GPRregression | —Unverified | 0 |
| Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets | Jun 8, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Variational Variance: Simple, Reliable, Calibrated Heteroscedastic Noise Variance Parameterization | Jun 8, 2020 | regression | CodeCode Available | 1 |
| Survival regression with accelerated failure time model in XGBoost | Jun 8, 2020 | ManagementMarketing | CodeCode Available | 0 |
| Motion Prediction using Trajectory Sets and Self-Driving Domain Knowledge | Jun 8, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Double Descent Risk and Volume Saturation Effects: A Geometric Perspective | Jun 8, 2020 | Model Selectionregression | —Unverified | 0 |
| Unstructured Road Vanishing Point Detection Using the Convolutional Neural Network and Heatmap Regression | Jun 8, 2020 | Autonomous Drivingregression | —Unverified | 0 |
| SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds | Jun 7, 2020 | 3D Object DetectionAutonomous Driving | —Unverified | 0 |