activity
20212025
most citedAllocating Stimulus Checks in Times of Crisis

13 citations · 34 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SI2025

Quantifying and Mitigating Consensus Disparity in Social and Information Networks

Marios Papachristou, Jon Kleinberg

We introduce a computational framework to measure and optimize disparity, which corresponds to the difference in consensus outcomes attributable to distinct social groups, under cl…

cs.SI2022★ 7 cited

Core-periphery Models for Hypergraphs

Marios Papachristou, Jon Kleinberg

We introduce a random hypergraph model for core-periphery structure. By leveraging our model's sufficient statistics, we develop a novel statistical inference algorithm that is abl…

cs.SI2022★ 6 cited

Dynamic Interventions for Networked Contagions

Marios Papachristou, Siddhartha Banerjee, Jon Kleinberg

We study the problem of designing dynamic intervention policies for minimizing networked defaults in financial networks. Formally, we consider a dynamic version of the celebrated E…

cs.SI2021★ 13 cited

Allocating Stimulus Checks in Times of Crisis

Marios Papachristou, Jon Kleinberg

We study the problem of allocating bailouts (stimulus, subsidy allocations) to people participating in a financial network subject to income shocks. We build on the financial clear…

cs.SI2021

Sublinear Domination and Core-Periphery Networks

Marios Papachristou

In this paper we devise a generative random network model with core-periphery properties whose core nodes act as sublinear dominators, that is, if the network has nodes, the co…

cs.LG2021★ 8 cited

Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo

Apostolos Chalkis, Vissarion Fisikopoulos, Marios Papachristou +1

We introduce Reflective Hamiltonian Monte Carlo (ReHMC), an HMC-based algorithm, to sample from a log-concave distribution restricted to a convex body. We prove that, starting from…