greedy algorithm

SpaRCS: Recovering low-rank and sparse matrices from compressive measurements NeurIPS 2011 Extensions of Generalized Binary Search to Group Identification and Exponential Costs NeurIPS 2010 Near-Optimal Bayesian Active Learning with Noisy Observations NeurIPS 2010 Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction NeurIPS 2009 Noisy Generalized Binary Search NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 On the Consistency of Feature Selection using Greedy Least Squares Regression JMLR 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 Optimal Solutions for Sparse Principal Component Analysis JMLR 2008 Predicting the Geometry of Metal Binding Sites from Protein Sequence NeurIPS 2008 Anytime Learning of Decision Trees JMLR 2007 Bayesian Agglomerative Clustering with Coalescents NeurIPS 2007 Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006 On the Complexity of Learning Lexicographic Strategies JMLR 2006 Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity JMLR 2003 Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002