Home /  Detection, Estimation, and Reconstruction in Networks


Detection, Estimation, and Reconstruction in Networks April 21, 2025 - April 25, 2025
Registration Deadline: April 25, 2025 over 1 year from now
To apply for Funding you must register by: January 21, 2025 about 1 year from now
Parent Program:
Location: SLMath: Eisenbud Auditorium, Atrium
Organizers Po-Ling Loh (University of Cambridge), Gabor Lugosi (ICREA), Sofia Olhede (École Polytechnique Fédérale de Lausanne (EPFL)), Roberto Oliveira (Institute of Pure and Applied Mathematics (IMPA)), LEAD Miklos Racz (Northwestern University)
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<p>Recovering communities&nbsp;in&nbsp;a network</p>
In a growing number of applications, one needs to analyze and interpret data coming from massive networks. The statistical problems arising from such applications lead to important mathematical challenges: building novel probabilistic models, understanding the possibilities and limitations for statistical detection and inference, designing efficient algorithms, and understanding the inherent limitations of fast algorithms. The workshop will bring together leading researchers in combinatorial statistics, machine learning, and random graphs in the hope of cross-fertilization of ideas.
Keywords and Mathematics Subject Classification (MSC)
  • combinatorial statistics

  • random graphs

  • network inference

  • network reconstruction

  • detection

  • estimation

Primary Mathematics Subject Classification
Secondary Mathematics Subject Classification No Secondary AMS MSC
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To apply for funding, you must register by the funding application deadline displayed above.

Students, recent PhDs, women, and members of underrepresented minorities are particularly encouraged to apply. Funding awards are typically made 6 weeks before the workshop begins. Requests received after the funding deadline are considered only if additional funds become available.

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For information about recommended hotels for visits of under 30 days, visit Short-Term Housing. Questions? Contact coord@slmath.org.

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