| Particle Gibbs for Bayesian Additive Regression Trees | Feb 16, 2015 | regression | —Unverified | 0 |
| Nonparametric regression using needlet kernels for spherical data | Feb 14, 2015 | regression | —Unverified | 0 |
| Weighted SGD for _p Regression with Randomized Preconditioning | Feb 12, 2015 | regression | —Unverified | 0 |
| Gaussian Process Models for HRTF based Sound-Source Localization and Active-Learning | Feb 11, 2015 | Active Learningregression | —Unverified | 0 |
| Proximal Algorithms in Statistics and Machine Learning | Feb 11, 2015 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Distributed Gaussian Processes | Feb 10, 2015 | FormGaussian Processes | —Unverified | 0 |
| Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments | Feb 10, 2015 | regression | —Unverified | 0 |
| Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale | Feb 9, 2015 | regression | —Unverified | 0 |
| Marginalizing Gaussian Process Hyperparameters using Sequential Monte Carlo | Feb 6, 2015 | regression | —Unverified | 0 |
| Quantum Energy Regression using Scattering Transforms | Feb 6, 2015 | regression | —Unverified | 0 |
| Regression and Learning to Rank Aggregation for User Engagement Evaluation | Jan 29, 2015 | Learning-To-RankRecommendation Systems | —Unverified | 0 |
| ggRandomForests: Visually Exploring a Random Forest for Regression | Jan 28, 2015 | regression | CodeCode Available | 0 |
| A Neural Network Anomaly Detector Using the Random Cluster Model | Jan 28, 2015 | Anomaly DetectionGeneral Classification | —Unverified | 0 |
| Covariate influence in spatially autocorrelated occupancy and abundance data | Jan 27, 2015 | regression | —Unverified | 0 |
| Online Nonparametric Regression with General Loss Functions | Jan 26, 2015 | regression | —Unverified | 0 |
| Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners | Jan 25, 2015 | Bilevel Optimizationregression | —Unverified | 0 |
| Randomized sketches for kernels: Fast and optimal non-parametric regression | Jan 25, 2015 | regression | —Unverified | 0 |
| Slice Sampling for Probabilistic Programming | Jan 20, 2015 | Probabilistic Programmingregression | —Unverified | 0 |
| Implementable confidence sets in high dimensional regression | Jan 19, 2015 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Coupled Depth Learning | Jan 19, 2015 | Depth Estimationregression | —Unverified | 0 |
| A new ADMM algorithm for the Euclidean median and its application to robust patch regression | Jan 16, 2015 | DenoisingImage Denoising | —Unverified | 0 |
| Understanding Kernel Ridge Regression: Common behaviors from simple functions to density functionals | Jan 16, 2015 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Classification with Low Rank and Missing Data | Jan 14, 2015 | ClassificationGeneral Classification | —Unverified | 0 |
| Random Bits Regression: a Strong General Predictor for Big Data | Jan 13, 2015 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Accurate Estimation of Quantitative Trait Locus Effects with Epistatic by Improved Variational Linear Regression | Jan 12, 2015 | regressionVariable Selection | —Unverified | 0 |
| MVA: Initial Margin Valuation Adjustment by Replication and Regression | Jan 12, 2015 | regression | —Unverified | 0 |
| Statistical consistency and asymptotic normality for high-dimensional robust M-estimators | Jan 1, 2015 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss | Jan 1, 2015 | Binary ClassificationDistributed Computing | —Unverified | 0 |
| A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression | Dec 30, 2014 | parameter estimationquantile regression | —Unverified | 0 |
| An _1,l_2,l_\-Regularization Approach to High-Dimensional Errors-in-variables Models | Dec 22, 2014 | regression | —Unverified | 0 |
| Half-CNN: A General Framework for Whole-Image Regression | Dec 22, 2014 | ClassificationFace Detection | —Unverified | 0 |
| Regression with Linear Factored Functions | Dec 19, 2014 | Gaussian Processesregression | —Unverified | 0 |
| Dynamic Structure Embedded Online Multiple-Output Regression for Stream Data | Dec 18, 2014 | regression | —Unverified | 0 |
| Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction | Dec 17, 2014 | Clusteringregression | —Unverified | 0 |
| Consistency Analysis of an Empirical Minimum Error Entropy Algorithm | Dec 17, 2014 | regression | —Unverified | 0 |
| Support recovery without incoherence: A case for nonconvex regularization | Dec 17, 2014 | regressionVariable Selection | —Unverified | 0 |
| The supervised hierarchical Dirichlet process | Dec 17, 2014 | regression | —Unverified | 0 |
| A Robust Regression Approach for Background/Foreground Segmentation | Dec 16, 2014 | ClusteringForeground Segmentation | —Unverified | 0 |
| The Statistics of Streaming Sparse Regression | Dec 13, 2014 | regression | —Unverified | 0 |
| Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso | Dec 12, 2014 | regression | —Unverified | 0 |
| Expanded Alternating Optimization of Nonconvex Functions with Applications to Matrix Factorization and Penalized Regression | Dec 12, 2014 | Recommendation Systemsregression | —Unverified | 0 |
| Complex support vector machines regression for robust channel estimation in LTE downlink system | Dec 10, 2014 | regression | —Unverified | 0 |
| Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression | Dec 9, 2014 | Mixture-of-Expertsregression | —Unverified | 0 |
| Cancer Detection with Multiple Radiologists via Soft Multiple Instance Logistic Regression and L_1 Regularization | Dec 9, 2014 | Multiple Instance Learningregression | —Unverified | 0 |
| Real-Time Grasp Detection Using Convolutional Neural Networks | Dec 9, 2014 | General ClassificationGPU | CodeCode Available | 1 |
| HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing | Dec 8, 2014 | General ClassificationHyperspectral Image Classification | —Unverified | 0 |
| A Likelihood Ratio Framework for High Dimensional Semiparametric Regression | Dec 6, 2014 | regressionSelection bias | —Unverified | 0 |
| Quantile universal threshold: model selection at the detection edge for high-dimensional linear regression | Dec 5, 2014 | compressed sensingModel Selection | —Unverified | 0 |
| Nonparametric modal regression | Dec 4, 2014 | regression | —Unverified | 0 |
| On Sparse Gaussian Chain Graph Models | Dec 1, 2014 | Computational Efficiencyregression | —Unverified | 0 |