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| Nearly Linear Row Sampling Algorithm for Quantile Regression | Jun 15, 2020 | quantile regressionregression | —Unverified | 0 |
| Societal biases reinforcement through machine learning: A credit scoring perspective | Jun 15, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Trends, Reversion, and Critical Phenomena in Financial Markets | Jun 14, 2020 | regression | —Unverified | 0 |
| Lateral land movement prediction from GNSS position time series in a machine learning aided algorithm | Jun 14, 2020 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Learning Stable Nonparametric Dynamical Systems with Gaussian Process Regression | Jun 14, 2020 | regression | —Unverified | 0 |
| The Statistical Cost of Robust Kernel Hyperparameter Tuning | Jun 14, 2020 | Hyperparameter Optimizationregression | —Unverified | 0 |
| Autofocused oracles for model-based design | Jun 14, 2020 | modelregression | CodeCode Available | 0 |
| A New Algorithm for Tessellated Kernel Learning | Jun 13, 2020 | regression | —Unverified | 0 |
| Modeling bike counts in a bike-sharing system considering the effect of weather conditions | Jun 13, 2020 | regression | —Unverified | 0 |
| Sample complexity and effective dimension for regression on manifolds | Jun 13, 2020 | Dimensionality Reductionregression | —Unverified | 0 |
| Horseshoe Prior Bayesian Quantile Regression | Jun 13, 2020 | quantile regressionregression | —Unverified | 0 |
| Active Online Domain Adaptation | Jun 12, 2020 | Domain AdaptationOnline Domain Adaptation | —Unverified | 0 |
| Bayesian Additive Regression Trees with Model Trees | Jun 12, 2020 | modelregression | CodeCode Available | 1 |
| Modeling bike availability in a bike-sharing system using machine learning | Jun 12, 2020 | BIG-bench Machine LearningPrediction | —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 |
| Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks | Jun 12, 2020 | regressionTransfer Learning | —Unverified | 0 |
| PAC-Bayes unleashed: generalisation bounds with unbounded losses | Jun 12, 2020 | regression | —Unverified | 0 |
| Fair Regression with Wasserstein Barycenters | Jun 12, 2020 | AttributeFairness | —Unverified | 0 |
| Task-similarity Aware Meta-learning through Nonparametric Kernel Regression | Jun 12, 2020 | Meta-Learningregression | —Unverified | 0 |
| Deep Transfer Learning with Ridge Regression | Jun 11, 2020 | regressionTransfer Learning | —Unverified | 0 |
| Active Sampling for Min-Max Fairness | Jun 11, 2020 | Fairnessregression | CodeCode Available | 0 |
| Weighted Lasso Estimates for Sparse Logistic Regression: Non-asymptotic Properties with Measurement Error | Jun 11, 2020 | regression | —Unverified | 0 |
| Symbolic Regression using Mixed-Integer Nonlinear Optimization | Jun 11, 2020 | regressionSymbolic Regression | —Unverified | 0 |
| Learning a Unified Sample Weighting Network for Object Detection | Jun 11, 2020 | General ClassificationObject | CodeCode Available | 1 |