greedy algorithm

Causal meets Submodular: Subset Selection with Directed Information NeurIPS 2016 Computing and maximizing influence in linear threshold and triggering models NeurIPS 2016 Fast Distributed Submodular Cover: Public-Private Data Summarization NeurIPS 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016 Greedy Feature Construction NeurIPS 2016 Horizontally Scalable Submodular Maximization ICML 2016 Learning Planar Ising Models JMLR 2016 Optimal Tagging with Markov Chain Optimization NeurIPS 2016 Structured Sparse Regression via Greedy Hard Thresholding NeurIPS 2016 Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection JMLR 2015 Distributed Submodular Cover: Succinctly Summarizing Massive Data NeurIPS 2015 Filtered Search for Submodular Maximization with Controllable Approximation Bounds AISTATS 2015 Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications NeurIPS 2015 On Greedy Maximization of Entropy ICML 2015 On the Optimality of Classifier Chain for Multi-label Classification NeurIPS 2015 Stochastic Online Greedy Learning with Semi-bandit Feedbacks NeurIPS 2015 SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals NeurIPS 2015 The Power of Randomization: Distributed Submodular Maximization on Massive Datasets ICML 2015 Threshold Influence Model for Allocating Advertising Budgets ICML 2015 Fast Multi-stage Submodular Maximization ICML 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Greedy Subspace Clustering NeurIPS 2014 Local Regularity-driven City-scale Facade Detection from Aerial Images CVPR 2014 Near-Optimally Teaching the Crowd to Classify ICML 2014