sparse learning

Spectral k-Support Norm Regularization NeurIPS 2014 Abnormal Event Detection at 150 FPS in MATLAB ICCV 2013 A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013 Heterogeneous Visual Features Fusion via Sparse Multimodal Machine CVPR 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013 New Graph Structured Sparsity Model for Multi-label Image Annotations ICCV 2013 Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NeurIPS 2013 Accelerated Training for Matrix-norm Regularization: A Boosting Approach NeurIPS 2012 An Improved GLMNET for L1-regularized Logistic Regression JMLR 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Learning the Dependency Structure of Latent Factors NeurIPS 2012 Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits AISTATS 2012 Structured Sparsity via Alternating Direction Methods JMLR 2012 A concave regularization technique for sparse mixture models NeurIPS 2011 Efficient Methods for Overlapping Group Lasso NeurIPS 2011 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Stochastic Methods for -regularized Loss Minimization JMLR 2011 A Dirty Model for Multi-task Learning NeurIPS 2010 Fast Active-set-type Algorithms for l1-regularized Linear Regression AISTATS 2010 Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010