papers

Publications (11)

math.OC2026

Online Order Fulfillment with Replenishment

Zi Ling, Jiashuo Jiang, Linwei Xin

In modern e-commerce and service operations, firms must jointly manage inventory replenishment and real-time order fulfillment to maximize profit under demand uncertainty. While ea…

math.OC2026

Hidden Convexity in Queueing Models

Xin Chen, Linwei Xin, Minda Zhao

We study the joint control of arrival and service rates in queueing systems with the objective of minimizing long-run expected cost minus revenue. Although the objective function i…

cs.LG2026

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1144

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

cs.LG2026

DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management

Yaqi Xie, Xinru Hao, Jiaxi Liu +4

Deep Reinforcement Learning (DRL) provides a general-purpose methodology for training inventory policies that can leverage big data and compute. However, off-the-shelf implementati…

math.PR2018

Distributionally robust inventory control when demand is a martingale

Linwei Xin, David A. Goldberg

Demand forecasting plays an important role in many inventory control problems. To mitigate the potential harms of model misspecification, various forms of distributionally robust o…

math.OC2017

Risk-Based Distributionally Robust Optimal Power Flow With Dynamic Line Rating

Cheng Wang, Rui Gao, Feng Qiu +2

In this paper, we propose a risk-based data-driven approach to optimal power flow (DROPF) with dynamic line rating. The risk terms, including penalties for load shedding, wind gene…

stat.ML2026

VC Theory for Inventory Policies

Yaqi Xie, Will Ma, Linwei Xin

There has been growing interest in applying reinforcement learning (RL) to inventory management, either by optimizing over temporal transitions or by learning directly from full hi…

math.PR2016

Optimality gap of constant-order policies decays exponentially in the lead time for lost sales models

Linwei Xin, David A. Goldberg

Inventory models with lost sales and large lead times have traditionally been considered intractable due to the curse of dimensionality. Recently, Goldberg and co-authors laid the…

math.OC2018

Time (in)consistency of multistage distributionally robust inventory models with moment constraints

Linwei Xin, David A. Goldberg

Recently, there has been a growing interest in developing inventory control policies which are robust to model misspecification. One approach is to posit that nature selects a wors…

cs.AI2026

Auto-Formulating Dynamic Programming Problems with Large Language Models

Chenyu Zhou, Jingyuan Yang, Linwei Xin +3

Dynamic programming (DP) is a fundamental method in operations research, but formulating DP models has traditionally required expert knowledge of both the problem context and DP te…

math.PR2016

Asymptotic optimality of Tailored Base-Surge policies in dual-sourcing inventory systems

Linwei Xin, David A. Goldberg

Dual-sourcing inventory systems, in which one supplier is faster (i.e. express) and more costly, while the other is slower (i.e. regular) and cheaper, arise naturally in many real-…