| Probabilistic Broken-Stick Model: A Regression Algorithm for Irregularly Sampled Data with Application to eGFR | Nov 30, 2016 | regressionScheduling | —Unverified | 0 |
| Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression | Nov 30, 2016 | regression | —Unverified | 0 |
| Nonparametric Regression with Adaptive Truncation via a Convex Hierarchical Penalty | Nov 30, 2016 | Additive modelsregression | —Unverified | 0 |
| Complex-valued Gaussian Process Regression for Time Series Analysis | Nov 30, 2016 | regressionTime Series | —Unverified | 0 |
| 3D Human Pose Estimation from a Single Image via Distance Matrix Regression | Nov 28, 2016 | 3D Human Pose EstimationPose Estimation | —Unverified | 0 |
| On the Exponentially Weighted Aggregate with the Laplace Prior | Nov 25, 2016 | regression | —Unverified | 0 |
| A Benchmark and Comparison of Active Learning for Logistic Regression | Nov 25, 2016 | Active LearningGeneral Classification | —Unverified | 0 |
| Two-Level Structural Sparsity Regularization for Identifying Lattices and Defects in Noisy Images | Nov 24, 2016 | regression | —Unverified | 0 |
| Interpretation of Prediction Models Using the Input Gradient | Nov 23, 2016 | General ClassificationPrediction | —Unverified | 0 |
| Scalable Approximations for Generalized Linear Problems | Nov 21, 2016 | Binary ClassificationGeneral Classification | —Unverified | 0 |
| Error analysis of regularized least-square regression with Fredholm kernel | Nov 21, 2016 | Learning TheoryPrediction | —Unverified | 0 |
| Probabilistic structure discovery in time series data | Nov 21, 2016 | regressionTime Series | —Unverified | 0 |
| Cascaded Face Alignment via Intimacy Definition Feature | Nov 21, 2016 | Face Alignmentregression | —Unverified | 0 |
| A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression | Nov 18, 2016 | regressionStochastic Optimization | —Unverified | 0 |
| Gap Safe screening rules for sparsity enforcing penalties | Nov 17, 2016 | regression | CodeCode Available | 0 |
| ROS Regression: Integrating Regularization and Optimal Scaling Regression | Nov 16, 2016 | regression | —Unverified | 0 |
| Dynamic Attention-controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-set Sample Weighting | Nov 16, 2016 | Data AugmentationFace Alignment | —Unverified | 0 |
| Mesh Denoising via Cascaded Normal Regression | Nov 15, 2016 | Denoisingregression | —Unverified | 0 |
| Robust Matrix Regression | Nov 15, 2016 | regression | —Unverified | 0 |
| Convolutional Regression for Visual Tracking | Nov 14, 2016 | Object Trackingregression | —Unverified | 0 |
| Kernel regression, minimax rates and effective dimensionality: beyond the regular case | Nov 12, 2016 | regression | —Unverified | 0 |
| Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata | Nov 11, 2016 | regression | CodeCode Available | 0 |
| Unsupervised Learning For Effective User Engagement on Social Media | Nov 11, 2016 | regression | —Unverified | 0 |
| Faster Kernel Ridge Regression Using Sketching and Preconditioning | Nov 10, 2016 | regression | CodeCode Available | 0 |
| Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging | Nov 9, 2016 | Diffusion MRIregression | —Unverified | 0 |