| Bayesian Neural Networks: An Introduction and Survey | Jun 22, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| A Novel Epidemiological Approach to Geographically Mapping Population Dry Eye Disease in the United States through Google Trends | Jun 22, 2020 | Epidemiologyregression | —Unverified | 0 |
| Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors | Jun 22, 2020 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Graph Neural Networks in TensorFlow and Keras with Spektral | Jun 22, 2020 | Deep LearningGeneral Classification | CodeCode Available | 2 |
| Fast and Accurate: Structure Coherence Component for Face Alignment | Jun 21, 2020 | Face Alignmentregression | —Unverified | 0 |
| Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks | Jun 21, 2020 | regression | —Unverified | 0 |
| With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models | Jun 21, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections? | Jun 21, 2020 | parameter estimationregression | —Unverified | 0 |
| Regression Prior Networks | Jun 20, 2020 | Depth EstimationMonocular Depth Estimation | CodeCode Available | 1 |
| Training (Overparametrized) Neural Networks in Near-Linear Time | Jun 20, 2020 | Dimensionality Reductionregression | —Unverified | 0 |
| Adversarial Transfer of Pose Estimation Regression | Jun 20, 2020 | Camera Pose EstimationDomain Adaptation | —Unverified | 0 |
| Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org | Jun 20, 2020 | Causal InferenceFairness | —Unverified | 0 |
| Asymptotically Optimal Exact Minibatch Metropolis-Hastings | Jun 20, 2020 | regression | CodeCode Available | 0 |
| New Insights into Learning with Correntropy Based Regression | Jun 19, 2020 | regression | —Unverified | 0 |
| Gradient boosting machine with partially randomized decision trees | Jun 19, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 |
| λ-Regularized A-Optimal Design and its Approximation by λ-Regularized Proportional Volume Sampling | Jun 19, 2020 | regression | —Unverified | 0 |
| Monash University, UEA, UCR Time Series Extrinsic Regression Archive | Jun 19, 2020 | BenchmarkingMissing Values | CodeCode Available | 1 |
| AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity | Jun 18, 2020 | regressionSymbolic Regression | CodeCode Available | 1 |
| Individual Calibration with Randomized Forecasting | Jun 18, 2020 | Decision MakingFairness | —Unverified | 0 |
| When Does Preconditioning Help or Hurt Generalization? | Jun 18, 2020 | regressionSecond-order methods | —Unverified | 0 |
| A Framework for Sample Efficient Interval Estimation with Control Variates | Jun 18, 2020 | regression | CodeCode Available | 0 |
| Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality | Jun 18, 2020 | Predictionregression | CodeCode Available | 1 |
| Cascaded Regression Tracking: Towards Online Hard Distractor Discrimination | Jun 18, 2020 | regressionVisual Tracking | —Unverified | 0 |
| Calibrated Reliable Regression using Maximum Mean Discrepancy | Jun 18, 2020 | BIG-bench Machine LearningPrediction Intervals | —Unverified | 0 |
| How isotropic kernels perform on simple invariants | Jun 17, 2020 | Binary Classificationregression | —Unverified | 0 |
