Shubhanshu Shekhar

Postdoctoral Researcher
Department of Statistics and Data Science
Carnegie Mellon University

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I am a postdoctoral researcher in the Department of Statistics and Data Science, at Carnegie Mellon University working with Prof. Aaditya Ramdas. I obtained my PhD in Electrical Engineering from the University of California, San Diego, where I was advised by Prof. Tara Javidi.


I work on developing principled statistical and algorithmic methods for solving practical problems in machine learning and data science. In particular, I have worked on the following topics:


Working Papers
  • Shubhanshu Shekhar, Ilmun Kim and Aaditya Ramdas.
    A Permutation-free Kernel Independence Test.

  • Shubhanshu Shekhar, and Aaditya Ramdas.
    Sequential Changepoint detection using Confidence Sequences.

  • Shubhanshu Shekhar, Neil Xu and Aaditya Ramdas.
    Confidence Sequences for Weighted Sampling without Replacement.

Selected Publications

For the complete list of publications and collaborators, please see my Google Scholar page.


I worked as a teaching assistant for the following courses.
  • ECE 101, Linear Systems Fundamentals
  • ECE 153, Probability and Stochastic Processes for Engineers
  • ECE 157, Data Networks
  • ECE 257, Graduate Communication Networks
  • ECE 267, Graph/Network Algorithms
  • ECE 272, Dynamical Systems