| Nonparametric regression and classification with joint sparsity constraints | Dec 1, 2008 | Additive modelsClassification | —Unverified | 0 |
| Localized Sliced Inverse Regression | Dec 1, 2008 | Dimensionality ReductionGeneral Classification | —Unverified | 0 |
| Efficient Sampling for Gaussian Process Inference using Control Variables | Dec 1, 2008 | General Classificationregression | —Unverified | 0 |
| Estimating vector fields using sparse basis field expansions | Dec 1, 2008 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| An Homotopy Algorithm for the Lasso with Online Observations | Dec 1, 2008 | compressed sensingDenoising | —Unverified | 0 |
| Modeling human function learning with Gaussian processes | Dec 1, 2008 | Gaussian Processesregression | —Unverified | 0 |
| Local Gaussian Process Regression for Real Time Online Model Learning | Dec 1, 2008 | GPRPrediction | —Unverified | 0 |
| Sparse Convolved Gaussian Processes for Multi-output Regression | Dec 1, 2008 | Gaussian Processesregression | —Unverified | 0 |
| A predictive estimator of finite population mean using nonparametric regression | Nov 20, 2008 | regression | —Unverified | 0 |
| BART: Bayesian additive regression trees | Jun 19, 2008 | Causal InferenceDrug Discovery | CodeCode Available | 0 |
| Bolasso: model consistent Lasso estimation through the bootstrap | Apr 8, 2008 | modelModel Selection | CodeCode Available | 0 |
| Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression | Dec 1, 2007 | Incremental Learningregression | —Unverified | 0 |
| Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes | Dec 1, 2007 | Gaussian ProcessesGeneral Classification | —Unverified | 0 |
| Online Linear Regression and Its Application to Model-Based Reinforcement Learning | Dec 1, 2007 | Model-based Reinforcement Learningregression | —Unverified | 0 |
| A Risk Minimization Principle for a Class of Parzen Estimators | Dec 1, 2007 | regression | —Unverified | 0 |
| Stability Bounds for Non-i.i.d. Processes | Dec 1, 2007 | Generalization BoundsLearning Theory | —Unverified | 0 |
| Robust Regression with Twinned Gaussian Processes | Dec 1, 2007 | Gaussian ProcessesModel Selection | —Unverified | 0 |
| Compressed Regression | Dec 1, 2007 | regression | —Unverified | 0 |
| Sparse Gaussian processes using pseudo-inputs | Jun 1, 2005 | Gaussian Processesregression | —Unverified | 0 |
| Semi-Supervised Regression with Co-Training | Jun 1, 2005 | BIG-bench Machine Learningregression | CodeCode Available | 0 |
| Intrusion Detection Systems Using Adaptive Regression Splines | May 5, 2004 | Intrusion Detectionregression | —Unverified | 0 |
| Modelling Association Football Scores and Inefficiencies in the Football Betting Market | Jan 1, 1997 | Game of Footballregression | CodeCode Available | 0 |
| Active Learning with Statistical Models | Mar 1, 1996 | Active Learningregression | —Unverified | 0 |
| Longitudinal data analysis using generalized linear models | Apr 1, 1986 | Causal InferenceParameter Prediction | —Unverified | 0 |