| Graphical Convergence of Subgradients in Nonconvex Optimization and Learning | Oct 17, 2018 | regressionStochastic Optimization | —Unverified | 0 |
| Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape Analysis | Oct 16, 2018 | General Classificationimage-classification | CodeCode Available | 0 |
| Hunting for Discriminatory Proxies in Linear Regression Models | Oct 16, 2018 | Attributeregression | CodeCode Available | 0 |
| Optimally rotated coordinate systems for adaptive least-squares regression on sparse grids | Oct 15, 2018 | regression | —Unverified | 0 |
| Asymptotics for Sketching in Least Squares Regression | Oct 14, 2018 | Dimensionality Reductionregression | CodeCode Available | 0 |
| Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on Wi-Fi Fingerprinting | Oct 13, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| Regression Based Approach for Measurement of Current in Single-Phase Smart Energy Meter | Oct 12, 2018 | regression | —Unverified | 0 |
| Multi-omic Network Regression: Methodology, Tool and Case Study | Oct 12, 2018 | regression | —Unverified | 0 |
| An algebraic-geometric approach for linear regression without correspondences | Oct 12, 2018 | regression | —Unverified | 0 |
| Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression | Oct 12, 2018 | regression | —Unverified | 0 |
| ISA^2: Intelligent Speed Adaptation from Appearance | Oct 11, 2018 | regression | —Unverified | 0 |
| A General Framework for Fair Regression | Oct 10, 2018 | FairnessGaussian Processes | —Unverified | 0 |
| Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach | Oct 10, 2018 | CPUIncremental Learning | —Unverified | 0 |
| Principal component-guided sparse regression | Oct 10, 2018 | regression | —Unverified | 0 |
| Deep learning with differential Gaussian process flows | Oct 9, 2018 | Deep LearningGaussian Processes | CodeCode Available | 0 |
| SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties | Oct 9, 2018 | regression | —Unverified | 0 |
| Deep clustering: On the link between discriminative models and K-means | Oct 9, 2018 | ClusteringDeep Clustering | CodeCode Available | 0 |
| A Unified Dynamic Approach to Sparse Model Selection | Oct 8, 2018 | modelModel Selection | —Unverified | 0 |
| Fast Context Adaptation via Meta-Learning | Oct 8, 2018 | General ClassificationMeta-Learning | CodeCode Available | 1 |
| Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks | Oct 8, 2018 | 6D Pose Estimation using RGBObject | —Unverified | 0 |
| On LASSO for Predictive Regression | Oct 7, 2018 | regressionVariable Selection | —Unverified | 0 |
| High-Dimensional Poisson DAG Model Learning Using _1-Regularized Regression | Oct 5, 2018 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Statistical Optimality of Interpolated Nearest Neighbor Algorithms | Oct 5, 2018 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| Leave-one-out least squares Monte Carlo algorithm for pricing Bermudan options | Oct 4, 2018 | regression | —Unverified | 0 |
| Optimal Learning with Anisotropic Gaussian SVMs | Oct 4, 2018 | regression | —Unverified | 0 |
