no code implementations • 25 Feb 2024 • Devansh Jalota, Matthew Tsao, Marco Pavone
To address the problem of misreporting fraud in artificial currency based benefits programs, we introduce an audit mechanism that induces a two-stage game between an administrator and users.
no code implementations • 26 Oct 2022 • Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone
In this paper, we present a differentially private algorithm for network routing problems.
2 code implementations • 31 Mar 2021 • Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone
To address the inherent unfairness of SO routing, we study the ${\beta}$-fair SO problem whose goal is to minimize the total travel time while guaranteeing a ${\beta\geq 1}$ level of unfairness, which specifies the maximum possible ratio between the travel times of different users with shared origins and destinations.
no code implementations • 9 Jan 2019 • Apoorva Sharma, James Harrison, Matthew Tsao, Marco Pavone
The first, RAMCP-F, converges to an optimal risk-sensitive policy without having to rebuild the search tree as the underlying belief over models is perturbed.