| Lancaster A at SemEval-2017 Task 5: Evaluation metrics matter: predicting sentiment from financial news headlines | May 1, 2017 | regression | CodeCode Available | 0 |
| Convex-constrained Sparse Additive Modeling and Its Extensions | May 1, 2017 | Additive modelsregression | —Unverified | 0 |
| A Riemannian gossip approach to subspace learning on Grassmann manifold | May 1, 2017 | Low-Rank Matrix CompletionMatrix Completion | —Unverified | 0 |
| EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features | Apr 27, 2017 | Brain Computer InterfaceEEG | —Unverified | 0 |
| Structured Sparse Modelling with Hierarchical GP | Apr 27, 2017 | regression | —Unverified | 0 |
| Random Forest Ensemble of Support Vector Regression Models for Solar Power Forecasting | Apr 27, 2017 | Ensemble Learningregression | —Unverified | 0 |
| Accelerating Stochastic Gradient Descent For Least Squares Regression | Apr 26, 2017 | regressionStochastic Optimization | —Unverified | 0 |
| A Flexible Framework for Hypothesis Testing in High-dimensions | Apr 26, 2017 | regressionTwo-sample testing | —Unverified | 0 |
| A Generalization of Convolutional Neural Networks to Graph-Structured Data | Apr 26, 2017 | General Classificationregression | CodeCode Available | 0 |
| Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation | Apr 26, 2017 | AstronomyDensity Estimation | CodeCode Available | 0 |
| Training L1-Regularized Models with Orthant-Wise Passive Descent Algorithms | Apr 26, 2017 | regression | —Unverified | 0 |
| Decision Stream: Cultivating Deep Decision Trees | Apr 25, 2017 | Classificationfeature selection | CodeCode Available | 1 |
| Denoising Linear Models with Permuted Data | Apr 24, 2017 | Denoisingregression | —Unverified | 0 |
| Elite Bases Regression: A Real-time Algorithm for Symbolic Regression | Apr 24, 2017 | regressionSymbolic Regression | —Unverified | 0 |
| Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions | Apr 24, 2017 | Pose Trackingregression | —Unverified | 0 |
| Asynchronous Distributed Variational Gaussian Processes for Regression | Apr 22, 2017 | Gaussian Processesregression | —Unverified | 0 |
| Feature selection algorithm based on Catastrophe model to improve the performance of regression analysis | Apr 21, 2017 | feature selectionregression | —Unverified | 0 |
| Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces | Apr 21, 2017 | Distributed ComputingGaussian Processes | CodeCode Available | 0 |
| 25 Tweets to Know You: A New Model to Predict Personality with Social Media | Apr 18, 2017 | Gaussian Processesregression | —Unverified | 0 |
| Learning Linear Feature Space Transformations in Symbolic Regression | Apr 17, 2017 | regressionSymbolic Regression | —Unverified | 0 |
| Statistical inference for high dimensional regression via Constrained Lasso | Apr 17, 2017 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Interval Arithmetic and Interval-Aware Operators for Genetic Programming | Apr 17, 2017 | regressionSymbolic Regression | —Unverified | 0 |
| Fast multi-output relevance vector regression | Apr 17, 2017 | regression | —Unverified | 0 |
| AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture | Apr 17, 2017 | Action DetectionRegion Proposal | —Unverified | 0 |
| Liquid Splash Modeling with Neural Networks | Apr 14, 2017 | regression | CodeCode Available | 0 |
