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Shant Boodaghians

  • Advisor:
      • Prof. Ruta Mehta
  • Departments:
  • Areas of Expertise:
      • Computational Economics
      • Algorithms for Noisy Data
  • Thesis Title:
      • Limited-Information Problems in Computational Economics
  • Thesis abstract:
      • The study of microeconomics is concerned with the behaviour of rational, selfish agents in classical economic settings, ranging from the decision problems of the agents themselves, to the design of mechanisms to incentivize behaviour. Modern computational theory has allowed economists to ask algorithmic questions about these concepts, giving rise to Computational Economics. This field ranges from the computational study of equilibrium computation to the optimal decision to take for a given agent in a given situation, and mechanism design. This thesis addresses many of the above questions, in settings the input is somehow obfuscated from the algorithm, in either the settings of Smoothed Analysis, Stochastic Optimization, or query complexity for noisy oracles.
  • Downloads:

    Contact information:
    boodagh2@illinois.edu