feature selection

Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 Multi-Stage Dantzig Selector NeurIPS 2010 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010 Probabilistic Multi-Task Feature Selection NeurIPS 2010 Quadratic Programming Feature Selection JMLR 2010 SFO: A Toolbox for Submodular Function Optimization JMLR 2010 Structured sparsity-inducing norms through submodular functions NeurIPS 2010 Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework NeurIPS 2010 The Feature Selection Path in Kernel Methods AISTATS 2010 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009 Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination JMLR 2009 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NeurIPS 2009 Heterogeneous multitask learning with joint sparsity constraints NeurIPS 2009 On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009 Particle Swarm Model Selection JMLR 2009 Sparse and Locally Constant Gaussian Graphical Models NeurIPS 2009 Sparse Estimation Using General Likelihoods and Non-Factorial Priors NeurIPS 2009 Submodularity Cuts and Applications NeurIPS 2009 Toward Provably Correct Feature Selection in Arbitrary Domains NeurIPS 2009 Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009 Unsupervised Feature Selection for the k-means Clustering Problem NeurIPS 2009 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008 An interior-point stochastic approximation method and an L1-regularized delta rule NeurIPS 2008 Dynamic visual attention: searching for coding length increments NeurIPS 2008