Ananya Uppal

Postdoctoral Researcher
Ananya's is a postdoctoral researcher at the Institute for Foundations of Machine Learning (IFML) at The University of Texas at Austin. She received her Ph.D. from Carnegie Mellon University, where she was advised by Barnabás Póczos. She received my bachelors degree from the University of Illinois at Urbana-Champaign. Ananya's research interests include statistical machine learning, high dimensional statistics.


Research Interests: 
  • Statistical Machine Learning
  • High dimensional statistics
Research Labs & Affiliations: 

Institute for the Foundations of Machine Learning (IFML)

Select Publications

Ananya Uppal, Shashank Singh, Barnabás Póczos. 2019. Nonparametric Density Estimation & Convergence Rates for Gans Under Besov IPM Losses . NeurIPS.
Ananya Uppal, Shashank Singh, Barnabás Póczos. 2020. Robust Density Estimation under Besov IPM Losses . NeurIPS.

Awards & Honors

2019 - Honorable Mention for Outstanding Paper award at NeurIPS 2019
2015 - Most Outstanding Major Award in Mathematics and Computer Science