Nabarun Deb

PIMS Postdoctoral Fellow, University of British Columbia

Nabarun Deb is a PIMS postdoctoral fellow at UBC, Vancouver. He is currently working under the supervision of Young-Heon Kim (UBC), Geoffrey Schiebinger (UBC), and Soumik Pal (UW, Seattle) on optimal transport and its applications in statistics and machine learning. Nabarun did his Ph.D. from Columbia University, New York. He believes research is as much about learning to ask the right questions as it is about finding appropriate answers, so he loves to spend time reading papers to understand and formulate interesting and relevant questions. He also enjoys teaching students from diverse backgrounds, and thinks the opportunity to organically connect to people across borders (national, cultural, political, you name it) based on research, is one of the most fulfilling aspects of academia.

Nabarun Deb
Scientific, Seminar
KI Seminar: Nabarun Deb
September 29, 2022
Online
The Wasserstein distance is a powerful tool in modern machine learning to metrize the space of probability distributions in a way that takes into account the geometry of the domain. Therefore, a lot of attention has been devoted in the literature to...
Scientific, Seminar
The PIMS Postdoctoral Fellow Seminar: Nabarun Deb
February 1, 2023
University of British Columbia
In recent years, the problem of optimal transport has received significant attention in statistics and machine learning due to its powerful geometric properties. In this talk, we introduce the optimal transport problem and present concrete...