1 citations · 1 across the 11 of their papers we have counts for
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Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control
Yaqi Duan, Yichun Hu, Jiashuo Jiang
Inventory management remains a challenge for many small and medium-sized businesses that lack the expertise to deploy advanced optimization methods. This paper investigates whether…
A Lyapunov Drift-Plus-Penalty Method Tailored for Reinforcement Learning with Queue Stability
Wenhan Xu, Jiashuo Jiang, Lei Deng +1
With the proliferation of Internet of Things (IoT) devices, the demand for addressing complex optimization challenges has intensified. The Lyapunov Drift-Plus-Penalty algorithm is…
Plan-Driven Adaptive Bidding for First-Price Auctions with Budget Constraints under Nonstationarity
Yige Wang, Jiashuo Jiang
We study budget pacing in repeated first-price auctions when an advertiser's private-value distributions change over time and the stationary competing-bid distribution is unknown.…
Online Scheduling for LLM Inference with KV Cache Constraints
Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou +3
Large Language Model (LLM) inference, where a trained model generates text one word at a time in response to user prompts, is a computationally intensive process requiring efficien…
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi
We study the dynamic pricing problem with knapsack, addressing the challenge of balancing exploration and exploitation under resource constraints. We introduce three algorithms tai…
Online Pricing and Allocation with Demand Learning and Fulfillment Cost
Jianyu Xu, Xuan Wang, Yu-Xiang Wang +1
We study online learning for a seller that jointly chooses per-period inventory positions and a uniform price, then fulfills realized demand through a downstream allocation. The ma…