activity
20182021
most citedProphet Inequality with Correlated Arrival Probabilities, with Application to Two Sided Matchings

9 citations · 12 across the 3 of their papers we have counts for

collaborators

6 papers

cs.SI20213 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…

cs.LG2019

Beyond Adaptive Submodularity: Adaptive Influence Maximization with Intermediary Constraints

Shatian Wang, Zhen Xu, Van-Anh Truong

We consider a brand with a given budget that wants to promote a product over multiple rounds of influencer marketing. In each round, it commissions an influencer to promote the pro…

math.OC20199 cited

Prophet Inequality with Correlated Arrival Probabilities, with Application to Two Sided Matchings

Van-Anh Truong, Xinshang Wang

The classical Prophet Inequality arises from a fundamental problem in optimal-stopping theory. In this problem, a gambler sees a finite sequence of independent, non-negative random…

math.OC2018

Online Advance Admission Scheduling for Services with Customer Preferences

Xinshang Wang, Van-Anh Truong, David Bank

We study web and mobile applications that are used to schedule advance service, from medical appointments to restaurant reservations. We model them as online weighted bipartite mat…

math.OC2018

Advance Service Reservations with Heterogeneous Customers

Clifford Stein, Van-Anh Truong, Xinshang Wang

We study a fundamental model of resource allocation in which a finite number of resources must be assigned in an online manner to a heterogeneous stream of customers. The customers…