| Neural-net-induced Gaussian process regression for function approximation and PDE solution | Jun 22, 2018 | Gaussian Processesregression | —Unverified | 0 |
| Resolution and accuracy of non-linear regression of PSF with artificial neural networks | Jun 21, 2018 | regression | —Unverified | 0 |
| Countdown Regression: Sharp and Calibrated Survival Predictions | Jun 21, 2018 | Decision MakingMortality Prediction | CodeCode Available | 0 |
| Shift-Share Designs: Theory and Inference | Jun 20, 2018 | regressionvalid | CodeCode Available | 0 |
| How Bad is Good enough: Noisy annotations for instrument pose estimation | Jun 20, 2018 | Deep LearningMedical Image Analysis | —Unverified | 0 |
| Lessons learned from the AutoML challenge | Jun 20, 2018 | AutoMLregression | —Unverified | 0 |
| Non-Parametric Calibration of Probabilistic Regression | Jun 20, 2018 | General Classificationregression | —Unverified | 0 |
| Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression | Jun 19, 2018 | regression | —Unverified | 0 |
| Employee Attrition Prediction | Jun 19, 2018 | Predictionregression | —Unverified | 0 |
| Learning Equations for Extrapolation and Control | Jun 19, 2018 | Model Selectionregression | CodeCode Available | 0 |
| Incremental Sparse Bayesian Ordinal Regression | Jun 18, 2018 | Multi-Label Learningregression | CodeCode Available | 0 |
| Robust inference on the average treatment effect using the outcome highly adaptive lasso | Jun 18, 2018 | regression | —Unverified | 0 |
| Comparison-Based Random Forests | Jun 18, 2018 | General Classificationregression | —Unverified | 0 |
| Subspace Embedding and Linear Regression with Orlicz Norm | Jun 17, 2018 | regression | —Unverified | 0 |
| On the exact minimization of saturated loss functions for robust regression and subspace estimation | Jun 15, 2018 | General Classificationregression | —Unverified | 0 |
| On the Relationship between Data Efficiency and Error for Uncertainty Sampling | Jun 15, 2018 | Active Learningregression | CodeCode Available | 0 |
| Implicit Quantile Networks for Distributional Reinforcement Learning | Jun 14, 2018 | Atari GamesDistributional Reinforcement Learning | CodeCode Available | 0 |
| Autoregressive Quantile Networks for Generative Modeling | Jun 14, 2018 | Diversityquantile regression | CodeCode Available | 0 |
| Efficient sampling for Gaussian linear regression with arbitrary priors | Jun 14, 2018 | regression | —Unverified | 0 |
| Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network | Jun 14, 2018 | regression | CodeCode Available | 0 |
| End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN | Jun 13, 2018 | Deep LearningGeneral Classification | —Unverified | 0 |
| Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate | Jun 13, 2018 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| Polynomial Regression As an Alternative to Neural Nets | Jun 13, 2018 | regression | CodeCode Available | 0 |
| Improving Regression Performance with Distributional Losses | Jun 12, 2018 | regressionReinforcement Learning | —Unverified | 0 |
| A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs | Jun 11, 2018 | General ClassificationMetric Learning | —Unverified | 0 |