Namrata Deka

Namrata Deka

Ph.D. Student, Machine Learning

Carnegie Mellon University

Biography

I am a Ph.D. student in the Machine Learning Department at Carnegie Mellon University advised by Dr. Kun Zhang and Dr. Jeff Schneider. My current research focus is on developing theory and algorithms to learn causal representations for reinforcement learning, generative modelling, video understanding and robustness in deep learning. I have a M.Sc. in Computer Science from the University of British Columbia where I worked on invariant and fair representation learning using kernel-based measures, advised by Dr. Danica J. Sutherland.

I have held machine learning research intern positions at Borealis AI, the Visual Intelligence and Learning Lab at EPFL and the Applied Sciences group at Microsoft Research India. I also have full-time experience as a research fellow at Wadhwani AI.

Interests

  • Artificial Intelligence
  • Causal Learning
  • Computer Vision
  • Reinforcement Learning
  • Wildlife Conservation

Education

  • Ph.D. in Machine Learning, Ongoing

    Carnegie Mellon University, Pittsburgh

  • MSc. in Computer Science, 2023

    The University of British Columbia, Vancouver

  • BTech. (Honors) in Computer Science & Engineering, 2017

    Indraprastha Institute of Information Technology, New Delhi

Publications

Efficient Conditionally Invariant Representation Learning

MMD-B-Fair: Learning Fair Representations with Statistical Testing

Learning Privacy-Preserving Deep Kernels with Known Demographics