4 citations · 4 across the 5 of their papers we have counts for
6 papers
Online Resource Allocation with Convex-set Machine-Learned Advice
Negin Golrezaei, Patrick Jaillet, Zijie Zhou
Decision-makers often have access to machine-learned predictions about future demand that can help guide online resource allocation decisions. However, such predictions may be inac…
Online Resource Allocation with Samples
Negin Gorlezaei, Patrick Jaillet, Zijie Zhou
We study an online resource allocation problem under uncertainty about demand and about the reward of each type of demand (agents) for the resource. Even though dealing with demand…
Pigeonhole Design: Balancing Sequential Experiments from an Online Matching Perspective
Jinglong Zhao, Zijie Zhou
Practitioners and academics have long appreciated the benefits of covariate balancing when they conduct randomized experiments. For web-facing firms running online A/B tests, howev…
Near-Optimal Primal-Dual Algorithms for Quantity-Based Network Revenue Management
Rui Sun, Xinshang Wang, Zijie Zhou
We study the canonical quantity-based network revenue management (NRM) problem where the decision-maker must irrevocably accept or reject each arriving customer request with the go…
Best Strategy for Each Team in The Regular Season to Win Champion in The Knockout Tournament
Zijie Zhou
In J. Schwenk.(2018) ['What is the Correct Way to Seed a Knockout Tournament?' Retrieved from The American Mathematical Monthly], Schwenk identified a surprising weakness in the st…
Online Learning and Matching for Resource Allocation Problems
Andrea Boskovic, Qinyi Chen, Dominik Kufel +1
In order for an e-commerce platform to maximize its revenue, it must recommend customers items they are most likely to purchase. However, the company often has business constraints…