activity
20172025
most citedOnline Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds

21 citations · 67 across the 15 of their papers we have counts for

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Showing cs.LGShow all

8 papers · 1 filter

cs.LG2025

Exploration-free Algorithms for Multi-group Mean Estimation

Ziyi Wei, Huaiyang Zhong, Xiaocheng Li

We address the problem of multi-group mean estimation, which seeks to allocate a finite sampling budget across multiple groups to obtain uniformly accurate estimates of their means…

cs.LG2023★ 5 cited

Understanding Uncertainty Sampling via Equivalent Loss

Shang Liu, Xiaocheng Li

Uncertainty sampling is a classical active-learning strategy, yet the statistical objective induced by its query rule is often implicit. We introduce the equivalent loss, whose gra…

cs.LG2023★ 1 cited

Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming

Chunlin Sun, Shang Liu, Xiaocheng Li

In this paper, we study the predict-then-optimize problem where the output of a machine learning prediction task is used as the input of some downstream optimization problem, say,…

cs.LG2022★ 6 cited

Non-stationary Bandits with Knapsacks

Shang Liu, Jiashuo Jiang, Xiaocheng Li

In this paper, we study the problem of bandits with knapsacks (BwK) in a non-stationary environment. The BwK problem generalizes the multi-arm bandit (MAB) problem to model the res…

cs.LG2021

On Dynamic Pricing with Covariates

Hanzhao Wang, Kalyan Talluri, Xiaocheng Li

We consider dynamic pricing with covariates under a generalized linear demand model: a seller can dynamically adjust the price of a product over a horizon of time periods, and…

cs.LG2021★ 1 cited

The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks

Xiaocheng Li, Chunlin Sun, Yinyu Ye

In this paper, we study the bandits with knapsacks (BwK) problem and develop a primal-dual based algorithm that achieves a problem-dependent logarithmic regret bound. The BwK probl…

cs.LG2020★ 11 cited

Online Stochastic Optimization with Wasserstein Based Non-stationarity

Jiashuo Jiang, Xiaocheng Li, Jiawei Zhang

We consider a general online stochastic optimization problem with multiple budget constraints over a horizon of finite time periods. In each time period, a reward function and mult…

cs.LG2017

Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans

Huaiyang Zhong, Xiaocheng Li, David Lobell +2

Eradicating hunger and malnutrition is a key development goal of the 21st century. We address the problem of optimally identifying seed varieties to reliably increase crop yield wi…