Inference and Dynamics on Networks

Abstract

The proposal is to study inference problems involving networks. The mathematical and algorithmic ideas involve a number of disciplin"es in mathematics, statistics and computer science. Many network models provide only a rough approximation to the actual phenomena t"hey aim to model. A major goal of the proposal is to study agnostic inference on networks. Thus instead of assuming that networks mo"dels are accurate and then inference is performed, it is assumed that the networks models are just approximately correct and then th"e goal is to infer as best as possible given the approximation. Other goals of the proposal include inference of communities and the genealogy of networks and studying opinion dynamics and competition on networks both in the exact and the agnostic setup.

Document Details

Document Type
DoD Grant Award
Publication Date
Jun 09, 2017
Source ID
N000141712598

Entities

People

  • Elchanan Mossel

Organizations

  • Massachusetts Institute of Technology
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms