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20182026
most citedSample Complexity of Sample Average Approximation for Conditional Stochastic Optimization

23 citations · 37 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Strategic Bargaining in Multi-Buyer Markets: Reinforcement Learning from Verifiable Rewards for LLM Negotiations

Shuze Daniel Liu, Claire Chen, Jiabao Sean Xiao +2

Negotiation is a fundamental strategic interaction in management science, characterized by agents attempting to reach agreements while protecting private information, such as reser…

math.OC2022

Efficient Algorithms for A Class of Stochastic Hidden Convex Optimization and Its Applications in Network Revenue Management

Xin Chen, Niao He, Yifan Hu +1

We study a class of stochastic nonconvex optimization in the form of , i.e., is a composition of a convex function and…

math.OC2020★ 14 cited

Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning

Yifan Hu, Siqi Zhang, Xin Chen +1

Conditional stochastic optimization covers a variety of applications ranging from invariant learning and causal inference to meta-learning. However, constructing unbiased gradient…

math.OC2019★ 23 cited

Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization

Yifan Hu, Xin Chen, Niao He

In this paper, we study a class of stochastic optimization problems, referred to as the \emph{Conditional Stochastic Optimization} (CSO), in the form of $\min_{x \in \mathcal{X}} \…

math.PR2018

On sparsity of the solution to a random quadratic optimization problem

Xin Chen, Boris Pittel

The standard quadratic optimization problem (StQP), i.e. the problem of minimizing a quadratic form on the standard simplex $\{\bold x\ge\bold 0: \bold x^T\bold…