5 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.SI2021★ 3 cited
Online Learning of Independent Cascade Models with Node-level Feedback
Shuoguang Yang, Van-Anh Truong
We propose a detailed analysis of the online-learning problem for Independent Cascade (IC) models under node-level feedback. These models have widespread applications in modern soc…
cs.LG2020
Online Learning with Cumulative Oversampling: Application to Budgeted Influence Maximization
Shatian Wang, Shuoguang Yang, Zhen Xu +1
We propose a cumulative oversampling (CO) method for online learning. Our key idea is to sample parameter estimations from the updated belief space once in each round (similar to T…
math.OC2018★ 5 cited
Multi-Level Stochastic Gradient Methods for Nested Composition Optimization
Shuoguang Yang, Mengdi Wang, Ethan X. Fang
Stochastic gradient methods are scalable for solving large-scale optimization problems that involve empirical expectations of loss functions. Existing results mainly apply to optim…