| Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods | Jul 16, 2013 | Sparse Learning | —Unverified | 0 |
| Multi-task Sparse Learning with Beta Process Prior for Action Recognition | Jun 1, 2013 | Action RecognitionSparse Learning | —Unverified | 0 |
| A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems | Mar 18, 2013 | Sparse Learning | CodeCode Available | 0 |
| Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning | Dec 1, 2012 | compressed sensingparameter estimation | —Unverified | 0 |
| Accelerated Training for Matrix-norm Regularization: A Boosting Approach | Dec 1, 2012 | Multiview LearningSparse Learning | —Unverified | 0 |
| EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning | Dec 1, 2011 | Sparse LearningVariable Selection | —Unverified | 0 |
| Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels | Dec 1, 2011 | Generalization BoundsSparse Learning | —Unverified | 0 |
| Multivariate Dyadic Regression Trees for Sparse Learning Problems | Dec 1, 2010 | General Classificationregression | —Unverified | 0 |
| Nonparametric Greedy Algorithms for the Sparse Learning Problem | Dec 1, 2009 | Additive modelsregression | —Unverified | 0 |
| Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models | Dec 1, 2008 | Sparse Learning | —Unverified | 0 |
