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20162026
most citedRevenue Maximization and Learning in Products Ranking

7 citations · 30 across the 14 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

math.OC2022★ 1 cited

Stochastic Compositional Optimization with Compositional Constraints

Shuoguang Yang, Wei You, Zhe Zhang +1

Stochastic compositional optimization (SCO) has attracted considerable attention because of its broad applicability to important real-world problems. However, existing works on SCO…

stat.ML2022★ 4 cited

Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks

Shuoguang Yang, Xuezhou Zhang, Mengdi Wang

Bilevel optimization have gained growing interests, with numerous applications found in meta learning, minimax games, reinforcement learning, and nested composition optimization. T…

stat.ML2022

Information-Directed Selection for Top-Two Algorithms

Wei You, Chao Qin, Zihao Wang +1

We consider the best-k-arm identification problem for multi-armed bandits, where the objective is to select the exact set of k arms with the highest mean rewards by sequentially al…

cs.LG2022

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…

cs.LG2022★ 4 cited

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.…