Search Results for author: Marios Papachristou

Found 8 papers, 4 papers with code

Truncated Log-concave Sampling with Reflective Hamiltonian Monte Carlo

1 code implementation25 Feb 2021 Apostolos Chalkis, Vissarion Fisikopoulos, Marios Papachristou, Elias Tsigaridas

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

Sublinear Domination and Core-Periphery Networks

1 code implementation4 Mar 2021 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 $n$ nodes, the core has size $o(n)$ and dominates the entire network.

Social and Information Networks

Core-periphery Models for Hypergraphs

1 code implementation1 Jun 2022 Marios Papachristou, Jon Kleinberg

Our inference algorithm is capable of learning embeddings that correspond to the reputation (rank) of a node within the hypergraph.

GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs

no code implementations1 Nov 2022 Marios Papachristou, Rishab Goel, Frank Portman, Matthew Miller, Rong Jin

On the other hand, shallow (or node-level) models using ego features and adjacency embeddings work well in heterophilous graphs.

Graph Learning Knowledge Graph Embeddings

Differentially Private Distributed Estimation and Learning

1 code implementation28 Jun 2023 Marios Papachristou, M. Amin Rahimian

We show that the noise that minimizes the convergence time to the best estimates is the Laplace noise, with parameters corresponding to each agent's sensitivity to their signal and network characteristics.

Distributed Optimization

Leveraging Large Language Models for Collective Decision-Making

no code implementations3 Nov 2023 Marios Papachristou, Longqi Yang, Chin-Chia Hsu

In various work contexts, such as meeting scheduling, collaborating, and project planning, collective decision-making is essential but often challenging due to diverse individual preferences, varying work focuses, and power dynamics among members.

Decision Making Scheduling

Group Decision-Making among Privacy-Aware Agents

no code implementations13 Feb 2024 Marios Papachristou, M. Amin Rahimian

How can individuals exchange information to learn from each other despite their privacy needs and security concerns?

Decision Making

Network Formation and Dynamics Among Multi-LLMs

no code implementations16 Feb 2024 Marios Papachristou, Yuan Yuan

Social networks shape opinions, behaviors, and information dissemination in human societies.

Decision Making

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