| A New Algorithm for Tessellated Kernel Learning | Jun 13, 2020 | regression | —Unverified | 0 |
| Horseshoe Prior Bayesian Quantile Regression | Jun 13, 2020 | quantile regressionregression | —Unverified | 0 |
| Fair Regression with Wasserstein Barycenters | Jun 12, 2020 | AttributeFairness | —Unverified | 0 |
| PAC-Bayes unleashed: generalisation bounds with unbounded losses | Jun 12, 2020 | regression | —Unverified | 0 |
| Active Online Domain Adaptation | Jun 12, 2020 | Domain AdaptationOnline Domain Adaptation | —Unverified | 0 |
| Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks | Jun 12, 2020 | regression | CodeCode Available | 0 |
| Modeling bike availability in a bike-sharing system using machine learning | Jun 12, 2020 | BIG-bench Machine LearningPrediction | —Unverified | 0 |
| Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks | Jun 12, 2020 | regressionTransfer Learning | —Unverified | 0 |
| Task-similarity Aware Meta-learning through Nonparametric Kernel Regression | Jun 12, 2020 | Meta-Learningregression | —Unverified | 0 |
| Active Sampling for Min-Max Fairness | Jun 11, 2020 | Fairnessregression | CodeCode Available | 0 |
| Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization | Jun 11, 2020 | regression | —Unverified | 0 |
| Deep Transfer Learning with Ridge Regression | Jun 11, 2020 | regressionTransfer Learning | —Unverified | 0 |
| Weighted Lasso Estimates for Sparse Logistic Regression: Non-asymptotic Properties with Measurement Error | Jun 11, 2020 | regression | —Unverified | 0 |
| The Backbone Method for Ultra-High Dimensional Sparse Machine Learning | Jun 11, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Asymptotics of Ridge (less) Regression under General Source Condition | Jun 11, 2020 | regression | —Unverified | 0 |
| Symbolic Regression using Mixed-Integer Nonlinear Optimization | Jun 11, 2020 | regressionSymbolic Regression | —Unverified | 0 |
| Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric | Jun 10, 2020 | General Classificationregression | —Unverified | 0 |
| Distribution Regression for Sequential Data | Jun 10, 2020 | regressionTime Series | —Unverified | 0 |
| On the Optimal Weighted _2 Regularization in Overparameterized Linear Regression | Jun 10, 2020 | regression | —Unverified | 0 |
| Gaussian Gated Linear Networks | Jun 10, 2020 | DenoisingDensity Estimation | CodeCode Available | 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 |
| Deterministic Gaussian Averaged Neural Networks | Jun 10, 2020 | Adversarial Robustnessregression | CodeCode Available | 0 |
| On Coresets For Regularized Regression | Jun 9, 2020 | regression | CodeCode Available | 0 |
| Coresets for Near-Convex Functions | Jun 9, 2020 | regressionSensitivity | —Unverified | 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 |