| Nonparametric Identification and Estimation with Independent, Discrete Instruments | Jun 12, 2019 | quantile regressionregression | —Unverified | 0 |
| Pairwise Fairness for Ranking and Regression | Jun 12, 2019 | FairnessGeneral Classification | —Unverified | 0 |
| Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems | Jun 12, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Extending Deep Learning Models for Limit Order Books to Quantile Regression | Jun 11, 2019 | quantile regressionregression | —Unverified | 0 |
| Bias-Aware Inference in Fuzzy Regression Discontinuity Designs | Jun 11, 2019 | regressionvalid | —Unverified | 0 |
| Heterogeneous network approach to predict individuals' mental health | Jun 11, 2019 | Node ClassificationRecommendation Systems | —Unverified | 0 |
| Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization | Jun 11, 2019 | feature selectionLoad Forecasting | —Unverified | 0 |
| The Regression Discontinuity Design | Jun 10, 2019 | regression | CodeCode Available | 0 |
| Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors | Jun 10, 2019 | regression | —Unverified | 0 |
| Mean estimation and regression under heavy-tailed distributions--a survey | Jun 10, 2019 | regressionSurvey | —Unverified | 0 |
| A Regression Approach to Certain Information Transmission Problems | Jun 10, 2019 | BIG-bench Machine LearningDecoder | —Unverified | 0 |
| Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms | Jun 10, 2019 | Diversityregression | —Unverified | 0 |
| The Impact of Regularization on High-dimensional Logistic Regression | Jun 10, 2019 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Understanding overfitting peaks in generalization error: Analytical risk curves for l_2 and l_1 penalized interpolation | Jun 9, 2019 | regression | —Unverified | 0 |
| Disentangled State Space Representations | Jun 7, 2019 | regressionState Space Models | —Unverified | 0 |
| Visual Backpropagation | Jun 6, 2019 | regression | —Unverified | 0 |
| Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction | Jun 6, 2019 | Dictionary LearningFace Recognition | CodeCode Available | 0 |
| Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings | Jun 5, 2019 | Density EstimationMeta-Learning | —Unverified | 0 |
| Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks | Jun 5, 2019 | Medical Image Analysisobject-detection | —Unverified | 0 |
| Generalized Linear Rule Models | Jun 5, 2019 | General Classificationregression | —Unverified | 0 |
| Reliable training and estimation of variance networks | Jun 4, 2019 | Active LearningGaussian Processes | CodeCode Available | 0 |
| Manifold-regression to predict from MEG/EEG brain signals without source modeling | Jun 4, 2019 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Fréchet random forests for metric space valued regression with non euclidean predictors | Jun 4, 2019 | regression | —Unverified | 0 |
| On the number of variables to use in principal component regression | Jun 4, 2019 | regression | —Unverified | 0 |
| Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control | Jun 4, 2019 | Gaussian Processesregression | —Unverified | 0 |
