| TRIC-track: Tracking by Regression With Incrementally Learned Cascades | Dec 1, 2015 | Incremental Learningregression | —Unverified | 0 |
| Conditioned Regression Models for Non-Blind Single Image Super-Resolution | Dec 1, 2015 | Image Super-Resolutionregression | —Unverified | 0 |
| Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling | Dec 1, 2015 | regressionSemantic Segmentation | —Unverified | 0 |
| The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression | Dec 1, 2015 | regression | —Unverified | 0 |
| Continuous Pose Estimation With a Spatial Ensemble of Fisher Regressors | Dec 1, 2015 | Pose Estimationregression | —Unverified | 0 |
| b-bit Marginal Regression | Dec 1, 2015 | Quantizationregression | —Unverified | 0 |
| Fast Randomized Kernel Ridge Regression with Statistical Guarantees | Dec 1, 2015 | regression | —Unverified | 0 |
| Fast Classification Rates for High-dimensional Gaussian Generative Models | Dec 1, 2015 | Binary ClassificationClassification | —Unverified | 0 |
| Fast Second Order Stochastic Backpropagation for Variational Inference | Dec 1, 2015 | regressionVariational Inference | —Unverified | 0 |
| Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data | Dec 1, 2015 | General Classificationregression | CodeCode Available | 0 |
| Subset Selection by Pareto Optimization | Dec 1, 2015 | Dictionary Learningfeature selection | —Unverified | 0 |
| Convergence rates of sub-sampled Newton methods | Dec 1, 2015 | Active LearningBinary Classification | —Unverified | 0 |
| Fast Rates for Exp-concave Empirical Risk Minimization | Dec 1, 2015 | regressionStochastic Optimization | —Unverified | 0 |
| Fast, Provable Algorithms for Isotonic Regression in all L_p-norms | Dec 1, 2015 | Allregression | CodeCode Available | 0 |
| Alternating Minimization for Regression Problems with Vector-valued Outputs | Dec 1, 2015 | regression | —Unverified | 0 |
| Scalable Inference for Gaussian Process Models with Black-Box Likelihoods | Dec 1, 2015 | General Classificationregression | —Unverified | 0 |
| Multiple-Instance Learning: Radon-Nikodym Approach to Distribution Regression Problem | Nov 29, 2015 | Multiple Instance Learningregression | —Unverified | 0 |
| Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression | Nov 29, 2015 | regression | CodeCode Available | 0 |
| Regularized EM Algorithms: A Unified Framework and Statistical Guarantees | Nov 27, 2015 | regression | —Unverified | 0 |
| Random Forests for Big Data | Nov 26, 2015 | ClusteringGeneral Classification | —Unverified | 0 |
| Exploring Correlation between Labels to improve Multi-Label Classification | Nov 25, 2015 | Binary ClassificationClassification | —Unverified | 0 |
| Temporal Convolutional Neural Networks for Diagnosis from Lab Tests | Nov 25, 2015 | regression | CodeCode Available | 0 |
| Constrained Structured Regression with Convolutional Neural Networks | Nov 23, 2015 | Intrinsic Image Decompositionregression | —Unverified | 0 |
| Multiple--Instance Learning: Christoffel Function Approach to Distribution Regression Problem | Nov 22, 2015 | Multiple Instance Learningregression | —Unverified | 0 |
| L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria | Nov 20, 2015 | Classificationfeature selection | —Unverified | 0 |
