7 citations · 30 across the 14 of their papers we have counts for
5 papers · 1 filter
Federated Multi-Level Optimization over Decentralized Networks
Shuoguang Yang, Xuezhou Zhang, Mengdi Wang
Multi-level optimization has gained increasing attention in recent years, as it provides a powerful framework for solving complex optimization problems that arise in many fields, s…
Data-Driven Minimax Optimization with Expectation Constraints
Shuoguang Yang, Xudong Li, Guanghui Lan
Attention to data-driven optimization approaches, including the well-known stochastic gradient descent method, has grown significantly over recent decades, but data-driven constrai…
Bridging Adversarial and Nonstationary Multi-armed Bandit
Ningyuan Chen, Shuoguang Yang, Hailun Zhang
In the multi-armed bandit framework, there are two formulations that are commonly employed to handle time-varying reward distributions: adversarial bandit and nonstationary bandit.…
Revenue Maximization and Learning in Products Ranking
Ningyuan Chen, Anran Li, Shuoguang Yang
We consider the revenue maximization problem for an online retailer who plans to display in order a set of products differing in their prices and qualities. Consumers have attentio…
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…