| Computing AIC for black-box models using Generalised Degrees of Freedom: a comparison with cross-validation | Mar 9, 2016 | regression | CodeCode Available | 0 |
| Online Sparse Linear Regression | Mar 7, 2016 | regression | —Unverified | 0 |
| Gaussian Process Regression for Out-of-Sample Extension | Mar 7, 2016 | regression | —Unverified | 0 |
| Classical Statistics and Statistical Learning in Imaging Neuroscience | Mar 6, 2016 | General Classificationregression | —Unverified | 0 |
| High-Dimensional Metrics in R | Mar 5, 2016 | regressionvalid | CodeCode Available | 0 |
| Principal Component Projection Without Principal Component Analysis | Feb 22, 2016 | regression | —Unverified | 0 |
| Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval | Feb 22, 2016 | regressionRetrieval | —Unverified | 0 |
| A Statistical Model for Stroke Outcome Prediction and Treatment Planning | Feb 22, 2016 | regression | —Unverified | 0 |
| Higher-Order Low-Rank Regression | Feb 22, 2016 | regression | —Unverified | 0 |
| Sparse Linear Regression via Generalized Orthogonal Least-Squares | Feb 22, 2016 | regression | —Unverified | 0 |
| Sparse Estimation of Multivariate Poisson Log-Normal Models from Count Data | Feb 22, 2016 | regression | —Unverified | 0 |
| Spectral Learning for Supervised Topic Models | Feb 19, 2016 | regressionTopic Models | —Unverified | 0 |
| Semi-parametric Order-based Generalized Multivariate Regression | Feb 19, 2016 | regression | —Unverified | 0 |
| Structured Sparse Regression via Greedy Hard-Thresholding | Feb 19, 2016 | regression | —Unverified | 0 |
| Large Scale Kernel Learning using Block Coordinate Descent | Feb 17, 2016 | ClassificationGeneral Classification | —Unverified | 0 |
| Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression | Feb 17, 2016 | regression | —Unverified | 0 |
| Bayesian generalized fused lasso modeling via NEG distribution | Feb 16, 2016 | regression | —Unverified | 0 |
| DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression | Feb 15, 2016 | regression | —Unverified | 0 |
| Generalization Properties of Learning with Random Features | Feb 14, 2016 | regression | CodeCode Available | 0 |
| Mean-Reversion and Optimization | Feb 12, 2016 | PAIR TRADINGregression | —Unverified | 0 |
| Deep Gaussian Processes for Regression using Approximate Expectation Propagation | Feb 12, 2016 | Gaussian Processesregression | —Unverified | 0 |
| Detection of Cooperative Interactions in Logistic Regression Models | Feb 12, 2016 | feature selectionregression | —Unverified | 0 |
| A Universal Approximation Theorem for Mixture of Experts Models | Feb 11, 2016 | General ClassificationMixture-of-Experts | —Unverified | 0 |
| Online Active Linear Regression via Thresholding | Feb 9, 2016 | Active Learningregression | —Unverified | 0 |
| DECOrrelated feature space partitioning for distributed sparse regression | Feb 8, 2016 | parameter estimationregression | —Unverified | 0 |
| Solving Ridge Regression using Sketched Preconditioned SVRG | Feb 7, 2016 | regression | —Unverified | 0 |
| Hyperparameter optimization with approximate gradient | Feb 7, 2016 | Hyperparameter Optimizationregression | CodeCode Available | 0 |
| Fantastic 4 system for NIST 2015 Language Recognition Evaluation | Feb 5, 2016 | regression | —Unverified | 0 |
| Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes | Feb 5, 2016 | regression | —Unverified | 0 |
| Head Pose Estimation of Occluded Faces using Regularized Regression | Feb 2, 2016 | General ClassificationHead Pose Estimation | —Unverified | 0 |
| A Spectral Series Approach to High-Dimensional Nonparametric Regression | Feb 1, 2016 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Dimensionality Reduction via Regression in Hyperspectral Imagery | Jan 31, 2016 | Dimensionality ReductionLand Cover Classification | —Unverified | 0 |
| Additive Approximations in High Dimensional Nonparametric Regression via the SALSA | Jan 31, 2016 | Additive modelsregression | CodeCode Available | 0 |
| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | CodeCode Available | 0 |
| Feature Selection for Regression Problems Based on the Morisita Estimator of Intrinsic Dimension | Jan 31, 2016 | feature selectionManagement | —Unverified | 0 |
| Face Alignment by Local Deep Descriptor Regression | Jan 29, 2016 | Face Alignmentregression | —Unverified | 0 |
| System Identification through Online Sparse Gaussian Process Regression with Input Noise | Jan 29, 2016 | regression | CodeCode Available | 0 |
| Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking | Jan 28, 2016 | General Classificationregression | —Unverified | 0 |
| Information-theoretic limits of Bayesian network structure learning | Jan 27, 2016 | regressionVariable Selection | —Unverified | 0 |
| Recurrent Neural Network Postfilters for Statistical Parametric Speech Synthesis | Jan 26, 2016 | General Classificationregression | —Unverified | 0 |
| A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds | Jan 25, 2016 | Active Learningparameter estimation | —Unverified | 0 |
| Forecasting Electricity Spot Prices using Lasso: On Capturing the Autoregressive Intraday Structure | Jan 23, 2016 | regression | —Unverified | 0 |
| Divide and Conquer Local Average Regression | Jan 23, 2016 | regression | —Unverified | 0 |
| Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning | Jan 21, 2016 | Ensemble Learningregression | —Unverified | 0 |
| Nonlinear variable selection with continuous outcome: a nonparametric incremental forward stagewise approach | Jan 20, 2016 | BIG-bench Machine LearningForm | —Unverified | 0 |
| Learning the kernel matrix via predictive low-rank approximations | Jan 17, 2016 | regression | CodeCode Available | 0 |
| “Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels | Jan 15, 2016 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models | Jan 15, 2016 | Active LearningEEG | —Unverified | 0 |
| On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models | Jan 9, 2016 | Combinatorial Optimizationregression | —Unverified | 0 |
| Deep Learning for Limit Order Books | Jan 8, 2016 | Deep LearningManagement | —Unverified | 0 |