Shubhanshu Shekhar

Postdoctoral Researcher
Department of Statistics and Data Science
Carnegie Mellon University

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About

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.

Research

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.


Teaching

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