| Fixing an error in Caponnetto and de Vito (2007) | Feb 9, 2017 | regression | —Unverified | 0 |
| Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI) | Feb 9, 2017 | Brain Computer InterfaceClassification | —Unverified | 0 |
| Predicting Privileged Information for Height Estimation | Feb 9, 2017 | regression | —Unverified | 0 |
| On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation | Feb 9, 2017 | Camera Relocalizationregression | —Unverified | 0 |
| Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates | Feb 9, 2017 | Missing Valuesregression | —Unverified | 0 |
| Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation | Feb 8, 2017 | Hand Pose EstimationPose Estimation | —Unverified | 0 |
| Printed Arabic Text Recognition using Linear and Nonlinear Regression | Feb 5, 2017 | regression | —Unverified | 0 |
| Cluster-based Kriging Approximation Algorithms for Complexity Reduction | Feb 4, 2017 | regression | —Unverified | 0 |
| Optimal Subsampling for Large Sample Logistic Regression | Feb 3, 2017 | regression | —Unverified | 0 |
| Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models | Feb 3, 2017 | Model Selectionregression | —Unverified | 0 |
| A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network | Feb 2, 2017 | regressionSaliency Detection | —Unverified | 0 |
| Pixel Recursive Super Resolution | Feb 2, 2017 | regressionSuper-Resolution | CodeCode Available | 0 |
| Prototypal Analysis and Prototypal Regression | Jan 31, 2017 | regressionSensitivity | —Unverified | 0 |
| A Gaussian Process Regression Model for Distribution Inputs | Jan 31, 2017 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Click Through Rate Prediction for Contextual Advertisment Using Linear Regression | Jan 30, 2017 | Click-Through Rate Predictionfeature selection | —Unverified | 0 |
| Random Forest regression for manifold-valued responses | Jan 29, 2017 | regression | —Unverified | 0 |
| Subset Selection for Multiple Linear Regression via Optimization | Jan 27, 2017 | regressionvalid | —Unverified | 0 |
| Linear convergence of SDCA in statistical estimation | Jan 26, 2017 | regression | —Unverified | 0 |
| Information Theoretic Limits for Linear Prediction with Graph-Structured Sparsity | Jan 26, 2017 | General Classificationregression | —Unverified | 0 |
| Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables | Jan 23, 2017 | regression | —Unverified | 0 |
| Patchwork Kriging for Large-scale Gaussian Process Regression | Jan 23, 2017 | regressionUncertainty Quantification | —Unverified | 0 |
| Bayesian Network Learning via Topological Order | Jan 20, 2017 | regression | —Unverified | 0 |
| Parameter Selection Algorithm For Continuous Variables | Jan 19, 2017 | Model Selectionregression | —Unverified | 0 |
| Highly Efficient Hierarchical Online Nonlinear Regression Using Second Order Methods | Jan 18, 2017 | regressionSecond-order methods | —Unverified | 0 |
| A Machine Learning Alternative to P-values | Jan 18, 2017 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Efficient and Adaptive Linear Regression in Semi-Supervised Settings | Jan 17, 2017 | Imputationregression | —Unverified | 0 |
| Datenqualität in Regressionsproblemen | Jan 16, 2017 | regression | —Unverified | 0 |
| High-Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transition | Jan 16, 2017 | 2kregression | —Unverified | 0 |
| Regularization, sparse recovery, and median-of-means tournaments | Jan 15, 2017 | regression | —Unverified | 0 |
| Symbolic Regression Algorithms with Built-in Linear Regression | Jan 13, 2017 | regressionSymbolic Regression | —Unverified | 0 |
| Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications | Jan 11, 2017 | Hand Pose EstimationPose Estimation | —Unverified | 0 |
| Efficient Image Set Classification using Linear Regression based Image Reconstruction | Jan 10, 2017 | ClassificationGeneral Classification | —Unverified | 0 |
| Transformation Forests | Jan 9, 2017 | Prediction Intervalsquantile regression | —Unverified | 0 |
| Overlapping Cover Local Regression Machines | Jan 5, 2017 | Gaussian ProcessesGPR | —Unverified | 0 |
| Learning local trajectories for high precision robotic tasks : application to KUKA LBR iiwa Cartesian positioning | Jan 5, 2017 | regression | —Unverified | 0 |
| Private Incremental Regression | Jan 4, 2017 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Tensor-on-tensor regression | Jan 4, 2017 | regression | CodeCode Available | 1 |
| Bayesian model selection consistency and oracle inequality with intractable marginal likelihood | Jan 2, 2017 | Gaussian ProcessesModel Selection | —Unverified | 0 |
| ConvNets with Smooth Adaptive Activation Functions for Regression | Jan 1, 2017 | Age And Gender ClassificationPose Estimation | —Unverified | 0 |
| Lazily Adapted Constant Kinky Inference for Nonparametric Regression and Model-Reference Adaptive Control | Dec 31, 2016 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression | Dec 30, 2016 | regression | —Unverified | 0 |
| Geometric descent method for convex composite minimization | Dec 29, 2016 | regression | —Unverified | 0 |
| Text Summarization using Deep Learning and Ridge Regression | Dec 26, 2016 | Deep Learningregression | —Unverified | 0 |
| KS_JU@DPIL-FIRE2016:Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model | Dec 24, 2016 | Information Retrievalregression | —Unverified | 0 |
| Robust Classification of Graph-Based Data | Dec 21, 2016 | ClassificationGeneral Classification | —Unverified | 0 |
| A Statistical Approach to Continuous Self-Calibrating Eye Gaze Tracking for Head-Mounted Virtual Reality Systems | Dec 20, 2016 | Positionregression | —Unverified | 0 |
| A Convex Program for Mixed Linear Regression with a Recovery Guarantee for Well-Separated Data | Dec 19, 2016 | regression | —Unverified | 0 |
| Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimality | Dec 18, 2016 | regression | —Unverified | 0 |
| Machine Learning, Linear and Bayesian Models for Logistic Regression in Failure Detection Problems | Dec 17, 2016 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study | Dec 17, 2016 | BIG-bench Machine Learningregression | —Unverified | 0 |