| Corrected XVA Modelling Framework and Formulae for KVA and MVA | Jul 28, 2018 | regression | —Unverified | 0 |
| PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks | Jul 28, 2018 | Head Pose Estimationregression | CodeCode Available | 0 |
| Structured Point Cloud Data Analysis via Regularized Tensor Regression for Process Modeling and Optimization | Jul 26, 2018 | regression | —Unverified | 0 |
| Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models | Jul 26, 2018 | MULTI-VIEW LEARNINGregression | CodeCode Available | 0 |
| Differential Analysis of Directed Networks | Jul 26, 2018 | regression | —Unverified | 0 |
| Where are the Blobs: Counting by Localization with Point Supervision | Jul 25, 2018 | ObjectObject Counting | CodeCode Available | 0 |
| Propensity score estimation using classification and regression trees in the presence of missing covariate data | Jul 25, 2018 | General ClassificationImputation | —Unverified | 0 |
| A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data | Jul 24, 2018 | Dimensionality Reductionregression | —Unverified | 0 |
| Meta-Learning Priors for Efficient Online Bayesian Regression | Jul 24, 2018 | Meta-Learningregression | CodeCode Available | 0 |
| Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks | Jul 19, 2018 | ClassificationData Augmentation | CodeCode Available | 0 |
| Machine Learning Classifiers Do Not Improve the Prediction of Academic Risk: Evidence from Australia | Jul 19, 2018 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex Optimization | Jul 17, 2018 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors | Jul 15, 2018 | Bayesian InferenceEEG | —Unverified | 0 |
| A Unified Framework for Sparse Relaxed Regularized Regression: SR3 | Jul 14, 2018 | compressed sensingComputational Efficiency | —Unverified | 0 |
| Hydranet: Data Augmentation for Regression Neural Networks | Jul 12, 2018 | Data AugmentationMedical Image Analysis | —Unverified | 0 |
| The Incremental Proximal Method: A Probabilistic Perspective | Jul 12, 2018 | regression | —Unverified | 0 |
| A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation | Jul 11, 2018 | Model-based Reinforcement Learningregression | —Unverified | 0 |
| Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques | Jul 11, 2018 | General ClassificationManagement | —Unverified | 0 |
| Dual optimization for convex constrained objectives without the gradient-Lipschitz assumption | Jul 10, 2018 | Computational Efficiencyregression | —Unverified | 0 |
| Scalable Sparse Subspace Clustering via Ordered Weighted _1 Regression | Jul 10, 2018 | Clusteringregression | —Unverified | 0 |
| PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence | Jul 9, 2018 | regressionSemantic correspondence | —Unverified | 0 |
| Jointly learning relevant subgraph patterns and nonlinear models of their indicators | Jul 9, 2018 | Computational chemistryregression | —Unverified | 0 |
| Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning | Jul 9, 2018 | Gaussian Processesregression | —Unverified | 0 |
| A Tutorial on Bayesian Optimization | Jul 8, 2018 | Bayesian OptimizationHyperparameter Optimization | CodeCode Available | 0 |
| The modal age of Statistics | Jul 8, 2018 | Clusteringregression | —Unverified | 0 |