Khashayar Khosravi

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Khashayar Khosravi
Ph.D. Candidate
Department of Electrical Engineering
Stanford University
Email: khosravi(at)
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About Me

I am a fifth year Ph.D. Student in Electrical Engineering at Stanford University where I am thrilled to be advised by Mohsen Bayati.
My research lies at the intersection of operations research, machine learning, and statistics. In particular, I am interested in online decision making, contextual bandits, and causal inference. I spent summer 2018 at Microsoft Research New England with Vasilis Syrgkanis and Greg Lewis as a research intern.
Previously, I obtained bachelor degrees in Electrical Engineering and Mathematics both from Sharif University of Technology.


  • Our paper Non-Parametric Inference Adaptive to Intrinsic Dimension is uploaded.

  • I gave the following talks at INFORMS Annual Meeting 2018:

    • Matrix Completion Methods for Causal Panel Data Models
      TA13: Tuesday Nov. 6th, 7:30AM-9AM, North Bldg 126B

    • Mostly Exploration-Free Algorithms for Contextual Bandits
      TC56: Tuesday Nov. 6th, 12:05PM-1:35PM, West Bldg 101A

Research Interests

  • Contextual multi-armed bandit

  • Causal inference

  • Personalized and data-driven decision-making

  • Machine learning and optimization

  • Statistics

Selected Papers