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influence maximization

83 papers

IM

Papers

Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem COLT 2019 Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio ICML 2019 Group-Fairness in Influence Maximization IJCAI 2019 Online Influence Maximization with Local Observations ALT 2019 Pareto Optimization for Subset Selection with Dynamic Cost Constraints AAAI 2019 Recommending Links to Maximize the Influence in Social Networks IJCAI 2019 Robust Influence Maximization for Hyperparametric Models ICML 2019 Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth IJCAI 2018 Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice ICML 2018 Balancing information exposure in social networks NeurIPS 2017 Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NeurIPS 2017 Influence Maximization with ε-Almost Submodular Threshold Functions NeurIPS 2017 Learning Concise Representations of Users' Influences through Online Behaviors IJCAI 2017 Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information IJCAI 2017 Model-Independent Online Learning for Influence Maximization ICML 2017 Nonbacktracking Bounds on the Influence in Independent Cascade Models NeurIPS 2017 No Time to Observe: Adaptive Influence Maximization with Partial Feedback IJCAI 2017 Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback NeurIPS 2017 Robust Budget Allocation via Continuous Submodular Functions ICML 2017 Robust Optimization for Non-Convex Objectives NeurIPS 2017 Robust Submodular Maximization: A Non-Uniform Partitioning Approach ICML 2017 Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks JMLR 2017 Subset Selection under Noise NeurIPS 2017 The Importance of Communities for Learning to Influence NeurIPS 2017 Computing and maximizing influence in linear threshold and triggering models NeurIPS 2016