• Assistant Professor
Shahin Shahrampour

Educational Background

  • Doctorate of Philosophy, Electrical and Systems Engineering, University of Pennsylvania - 2015
  • A.M., Statistics, The Wharton School - 2014
  • Master of Science, Electrical Engineering, University of Pennsylvania - 2012
  • Bachelor of Science, Electrical Engineering, Sharif University of Technology - 2009

Research Interests

    • Machine learning
    • Optimization
    • Decision theory
    • Statistical signal processing
    • Distributed algorithms

Selected Publications

  • S. Shahrampour and V. Tarokh, "Learning Bounds for Greedy Approximation with Multiple Explicit Feature Maps", Advances in Neural Information Processing Systems (NIPS), 2018
  • S. Shahrampour and A. Jadbabaie, "Distributed Online Optimization in Dynamic Environments Using Mirror Descent", IEEE Transactions on Automatic Control (TAC), March 2018
  • A. Beirami, M. Razaviayayn, S. Shahrampour, and V. Tarokh, "On Optimal Generalizability in Parametric Learning", Advances in Neural Information Processing Systems (NIPS), 2017
  • S. Shahrampour, A. Rakhlin, and A. Jadbabaie, "Distributed Detection: Finite-time Analysis and Impact of Network Topology", IEEE Transactions on Automatic Control (TAC), November 2016
  • A. Jadbabaie, A. Rakhlin, S. Shahrampour, and K. Sridharan, "Online Optimization: Competing with Dynamic Comparators", Artificial Intelligence and Statistics (AISTATS), 2015