| Non-Normal Mixtures of Experts | Jun 22, 2015 | ClusteringMixture-of-Experts | CodeCode Available | 0 |
| Sampling constrained probability distributions using Spherical Augmentation | Jun 19, 2015 | Bayesian Inferenceregression | —Unverified | 0 |
| Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels | Jun 19, 2015 | regression | —Unverified | 0 |
| Doubly Decomposing Nonparametric Tensor Regression | Jun 19, 2015 | regressionTensor Decomposition | —Unverified | 0 |
| Feature Selection for Ridge Regression with Provable Guarantees | Jun 17, 2015 | Classificationfeature selection | —Unverified | 0 |
| Online Gradient Boosting | Jun 16, 2015 | regression | —Unverified | 0 |
| Latent Regression Bayesian Network for Data Representation | Jun 15, 2015 | regression | —Unverified | 0 |
| Encog: Library of Interchangeable Machine Learning Models for Java and C# | Jun 15, 2015 | BIG-bench Machine LearningClustering | —Unverified | 0 |
| Using the Mean Absolute Percentage Error for Regression Models | Jun 12, 2015 | regression | —Unverified | 0 |
| Optimal γ and C for ε-Support Vector Regression with RBF Kernels | Jun 12, 2015 | regression | —Unverified | 0 |
| GAP Safe screening rules for sparse multi-task and multi-class models | Jun 11, 2015 | regression | —Unverified | 0 |
| Mondrian Forests for Large-Scale Regression when Uncertainty Matters | Jun 11, 2015 | Bayesian OptimizationGaussian Processes | CodeCode Available | 0 |
| Truthful Linear Regression | Jun 10, 2015 | regression | —Unverified | 0 |
| Convergence Rates of Active Learning for Maximum Likelihood Estimation | Jun 8, 2015 | Active LearningBinary Classification | —Unverified | 0 |
| Robust Regression via Hard Thresholding | Jun 8, 2015 | regression | —Unverified | 0 |
| Face alignment by coarse-to-fine shape searching | Jun 7, 2015 | Face Alignmentregression | CodeCode Available | 0 |
| No penalty no tears: Least squares in high-dimensional linear models | Jun 7, 2015 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | Jun 6, 2015 | Bayesian InferenceDeep Reinforcement Learning | CodeCode Available | 1 |
| Classification and regression using an outer approximation projection-gradient method | Jun 6, 2015 | Classificationfeature selection | —Unverified | 0 |
| Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives | Jun 5, 2015 | regression | CodeCode Available | 0 |
| Bayesian optimization for materials design | Jun 3, 2015 | Bayesian Optimizationregression | CodeCode Available | 0 |
| Classify Images with Conceptor Network | Jun 2, 2015 | regression | —Unverified | 0 |
| PRHLT: Combination of Deep Autoencoders with Classification and Regression Techniques for SemEval-2015 Task 11 | Jun 1, 2015 | Dimensionality ReductionGeneral Classification | —Unverified | 0 |
| Lsislif: CRF and Logistic Regression for Opinion Target Extraction and Sentiment Polarity Analysis | Jun 1, 2015 | regressionSentiment Analysis | —Unverified | 0 |
| SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression | Jun 1, 2015 | Negation Detectionregression | —Unverified | 0 |