activity
20202025
most citedOnline Algorithms for Matching Platforms with Multi-Channel Traffic

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DS2025

Robust Dynamic Staffing with Predictions

Yiding Feng, Vahideh Manshadi, Rad Niazadeh +1

We consider a natural dynamic staffing problem in which a decision-maker sequentially hires workers over a finite horizon to meet an unknown demand revealed at the end. Predictions…

cs.DS2025

Markovian Search with Ex-Ante Constraints: Theory and Applications to Socially Aware Algorithmic Hiring

Mohammad Reza Aminian, Vahideh Manshadi, Rad Niazadeh

We develop an algorithmic framework to incorporate "ex-ante" constraints on outcomes (that hold only on average) into stateful sequential search with costly inspection. Our framewo…

cs.DS2024

Dynamic Matching with Post-allocation Service and its Application to Refugee Resettlement

Kirk Bansak, Soonbong Lee, Vahideh Manshadi +2

Motivated by our collaboration with a major refugee resettlement agency in the U.S., we study a dynamic matching problem where each new arrival (a refugee case) must be matched imm…

cs.GT2022★ 4 cited

Online Algorithms for Matching Platforms with Multi-Channel Traffic

Vahideh Manshadi, Scott Rodilitz, Daniela Saban +1

Two-sided platforms rely on their recommendation algorithms to help visitors successfully find a match. However, on platforms such as VolunteerMatch (VM) -- which has facilitated m…

cs.LG2020

Learning Product Rankings Robust to Fake Users

Negin Golrezaei, Vahideh Manshadi, Jon Schneider +1

In many online platforms, customers' decisions are substantially influenced by product rankings as most customers only examine a few top-ranked products. Concurrently, such platfor…