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Online Learning of Independent Cascade Models with Node-level Feedback
We propose a detailed analysis of the online-learning problem for Independent Cascade (IC) models under node-level feedback.
Online Learning with Cumulative Oversampling: Application to Budgeted Influence Maximization
We propose a cumulative oversampling (CO) method for online learning.
Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence
We show that in these models, the expected positive influence spread is a monotone submodular function of the seed set.
Beyond Adaptive Submodularity: Adaptive Influence Maximization with Intermediary Constraints
We consider a brand with a given budget that wants to promote a product over multiple rounds of influencer marketing.
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