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Mismatching as a tool to enhance algorithmic performances of Monte Carlo methods for the planted clique model

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Publication:5020005
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DOI10.1088/1742-5468/ac3657OpenAlexW3215423215MaRDI QIDQ5020005

Simone de Feo, Maria Chiara Angelini, Paolo Fachin

Publication date: 3 January 2022

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2106.05720


zbMATH Keywords

statistical inferencemessage-passing algorithmsclassical Monte Carlo simulationsinference of graphical models


Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)


Related Items

Hopfield model with planted patterns: a teacher-student self-supervised learning model



Cites Work

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  • Finding one community in a sparse graph
  • Finding hidden cliques of size \(\sqrt{N/e}\) in nearly linear time
  • Constrained low-rank matrix estimation: phase transitions, approximate message passing and applications
  • Parallel tempering for the planted clique problem
  • Large Cliques Elude the Metropolis Process
  • On colouring random graphs
  • A Nearly Tight Sum-of-Squares Lower Bound for the Planted Clique Problem
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