activity
20132023
most citedThe Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification

44 citations · 132 across the 28 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.LG2022★ 5 cited

Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions

Jiashuo Jiang, Will Ma, Jiawei Zhang

We study the classical Network Revenue Management (NRM) problem with accept/reject decisions and IID arrivals. We consider a distributional form where each arrival must fall un…

cs.DS2022★ 2 cited

Selection and Ordering Policies for Hiring Pipelines via Linear Programming

Boris Epstein, Will Ma

Motivated by hiring pipelines, we study three selection and ordering problems in which applicants for a finite set of positions must be interviewed or sent offers. There is a finit…

cs.DS2022★ 2 cited

On (Random-order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs

Calum MacRury, Will Ma, Nathaniel Grammel

Online Contention Resolution Schemes (OCRS's) represent a modern tool for selecting a subset of elements, subject to resource constraints, when the elements are presented to the al…

cs.DS2022

A Nonparametric Framework for Online Stochastic Matching with Correlated Arrivals

Ali Aouad, Will Ma

The design of online algorithms for matching markets and revenue management settings is usually bound by the assumption that the demand process is formed by a fixed-length sequence…

cs.DS2022★ 4 cited

Order-optimal Correlated Rounding for Fulfilling Multi-item E-commerce Orders

Will Ma

We study the dynamic fulfillment problem in e-commerce, in which incoming (multi-item) customer orders must be immediately dispatched to (a combination of) fulfillment centers that…

cs.DS2022★ 13 cited

Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model

Billy Jin, Will Ma

Two-stage bipartite matching is a fundamental problem of optimization under uncertainty introduced by Feng, Niazadeh, and Saberi (2021), who study it under the stochastic and adver…