Ankit Singh Rawat


Google Research NY
111 8th Avenue
New York, NY 10011, USA
E-mail: ankitsrawat AT google(dot)com

About Me

I am a Research Scientist at Google Research, New York.

Previously, I held postdoctoral appointments at Massachusetts Institute of Technology, Carnegie Mellon University, and University of Massachusetts Amherst, where I worked with Prof. Gregory W. Wornell, Prof. Venkatesan Guruswami, and Prof. Arya Mazumdar, respectively. I received a Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin in 2015, where I was advised by Prof. Sriram Vishwanath. At UT Austin, I also had the pleasure of working with Prof. Alex Dimakis. Before attending UT Austin, I received a B.Tech. degree in Electrical Engineering from Indian Institute of Technology (IIT) Kanpur in 2010.

Research Interests

  • Large Scale Machine Learning

  • Coding Theory

  • Information Theory


Selected Publications (Full List)

  • A Fourier Approach to Mixture Learning
    Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer
    Advances in Neural Information Processing Systems (NeurIPS), 2022.

  • Long-tail Learning via Logit Adjustment
    Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
    Spotlight, International Conference on Learning Representations (ICLR), 2021.

Click here for the full list of publications.