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submodular function

131 papers

Papers

Model-Independent Online Learning for Influence Maximization ICML 2017 Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video EMNLP 2017 On Subset Selection with General Cost Constraints IJCAI 2017 Optimizing Ratio of Monotone Set Functions IJCAI 2017 Real-Time Keyword Extraction from Conversations EACL 2017 Stochastic Submodular Maximization: The Case of Coverage Functions NeurIPS 2017 Streaming Weak Submodularity: Interpreting Neural Networks on the Fly NeurIPS 2017 Subset Selection under Noise NeurIPS 2017 Tight Bounds on ℓ_1 Approximation and Learning of Self-Bounding Functions ALT 2017 Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging IJCNLP 2017 A Convex Surrogate Operator for General Non-Modular Loss Functions AISTATS 2016 Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint NeurIPS 2016 A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence COLING 2016 Algorithms for Optimizing the Ratio of Submodular Functions ICML 2016 Budgeted stream-based active learning via adaptive submodular maximization NeurIPS 2016 Computing and maximizing influence in linear threshold and triggering models NeurIPS 2016 Cooperative Graphical Models NeurIPS 2016 Deep Submodular Functions: Definitions and Learning NeurIPS 2016 Learning Combinatorial Functions from Pairwise Comparisons COLT 2016 Maximization of Approximately Submodular Functions NeurIPS 2016 Optimal Tagging with Markov Chain Optimization NeurIPS 2016 Parameter Learning for Log-supermodular Distributions NeurIPS 2016 The Power of Optimization from Samples NeurIPS 2016 Fast Mixing for Discrete Point Processes COLT 2015 GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs CVPR 2015