2 citations · 4 across the 10 of their papers we have counts for
10 papers
Auditing the Auditors: Does Community-based Moderation Get It Right?
Yeganeh Alimohammadi, Karissa Huang, Christian Borgs +1
Online social platforms increasingly rely on crowd-sourced systems to label misleading content at scale, but these systems must both aggregate users' evaluations and decide whose e…
Mallows Model with Learned Distance Metrics: Sampling and Maximum Likelihood Estimation
Yeganeh Alimohammadi, Kiana Asgari
\textit{Mallows model} is a widely-used probabilistic framework for learning from ranking data, with applications ranging from recommendation systems and voting to aligning languag…
Local Limits of Small World Networks
Yeganeh Alimohammadi, Senem Işık, Amin Saberi
Small-world networks, known for high local clustering and short path lengths, are a fundamental structure in many real-world systems, including social, biological, and technologica…
A Local Graph Limits Perspective on Sampling-Based GNNs
Yeganeh Alimohammadi, Luana Ruiz, Amin Saberi
We propose a theoretical framework for training Graph Neural Networks (GNNs) on large input graphs via training on small, fixed-size sampled subgraphs. This framework is applicable…
Incentive Compatibility in the Auto-bidding World
Yeganeh Alimohammadi, Aranyak Mehta, Andres Perlroth
Auto-bidding has recently become a popular feature in ad auctions. This feature enables advertisers to simply provide high-level constraints and goals to an automated agent, which…
Algorithms Using Local Graph Features to Predict Epidemics
Yeganeh Alimohammadi, Christian Borgs, Amin Saberi
We study a simple model of epidemics where an infected node transmits the infection to its neighbors independently with probability . This is also known as the independent casca…