1 citations · 1 across the 5 of their papers we have counts for
6 papers
Partial-Adaptive Submodular Maximization
Shaojie Tang, Jing Yuan
The goal of a typical adaptive sequential decision making problem is to design an interactive policy that selects a group of items sequentially, based on some partial observations,…
Submodular Optimization Beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising
Shaojie Tang, Jing Yuan
The idea of social advertising (or social promotion) is to select a group of influential individuals (a.k.a \emph{seeds}) to help promote some products or ideas through an online s…
Adaptive Regularized Submodular Maximization
Shaojie Tang, Jing Yuan
In this paper, we study the problem of maximizing the difference between an adaptive submodular (revenue) function and an non-negative modular (cost) function under the adaptive se…
Adaptive Submodular Meta-Learning
Shaojie Tang, Jing Yuan
Meta-Learning has gained increasing attention in the machine learning and artificial intelligence communities. In this paper, we introduce and study an adaptive submodular meta-lea…
Adaptive Cascade Submodular Maximization
Shaojie Tang, Jing Yuan
In this paper, we propose and study the cascade submodular maximization problem under the adaptive setting. The input of our problem is a set of items, each item is in a particular…
Adaptive Robust Optimization with Nearly Submodular Structure
Shaojie Tang, Jing Yuan
Constrained submodular maximization has been extensively studied in the recent years. In this paper, we study adaptive robust optimization with nearly submodular structure (ARONSS)…