activity
20172026
most citedDynamic Assortment Optimization with Changing Contextual Information

27 citations · 95 across the 19 of their papers we have counts for

collaborators

20 papers

math.OC2026

Online Bipartite Matching with Reusable Capacity under Non-Stationary Rewards

Xi Chen, Shixin Wang, Bingkun Zhou +1

We study online bipartite matching with reusable server capacity and non-stationary rewards. Jobs arrive sequentially, reveal compatible servers, reward rates, and processing durat…

cs.LG2025

Continuum-armed Bandit Optimization with Batch Pairwise Comparison Oracles

Xiangyu Chang, Xi Chen, Yining Wang +1

This paper studies a bandit optimization problem where the goal is to maximize a function over periods for some unknown strongly concave function . We consider a new…

stat.ML2025

Dynamic Pricing with Adversarially-Censored Demands

Jianyu Xu, Yining Wang, Xi Chen +1

We study an online dynamic pricing problem where the potential demand at each time period is stochastic and dependent on the price. However, a perishable inventor…

math.OC2024

A Re-solving Heuristic for Dynamic Assortment Optimization with Knapsack Constraints

Xi Chen, Mo Liu, Yining Wang +1

In this paper, we consider a multi-stage dynamic assortment optimization problem with multi-nomial choice modeling (MNL) under resource knapsack constraints. Given the current reso…

stat.ML2023★ 1 cited

Utility Fairness in Contextual Dynamic Pricing with Demand Learning

Xi Chen, David Simchi-Levi, Yining Wang

This paper introduces a novel contextual bandit algorithm for personalized pricing under utility fairness constraints in scenarios with uncertain demand, achieving an optimal regre…

math.OC2022★ 2 cited

Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms

Zishuo Zhao, Xi Chen, Xuefeng Zhang +1

A major challenge for ridesharing platforms is to guarantee profit and fairness simultaneously, especially in the presence of misaligned incentives of drivers and riders. We focus…