I am a Senior Researcher at Microsoft Research, New York.
I received my PhD in computer science from Cornell University (2019) and my
bachelors in computer science from Indian Institute of Technology Kanpur (2013).
My main interest is in developing efficient machine learning algorithms with
applications to real-world problems. The word efficient here includes provable,
sample and computationally efficient, interpretable, scalable, and ethical.
My empirical focus is on problems in natural language understanding and allied fields.
I am currently active in reinforcement learning theory, interactive learning,
representation learning, and language and vision problems. I also have interest
in computational social science, and data and society.
News: We have a new reinforcement learning algorithm HOMER, that provably explores,
recovers the latent dynamics, and optimizes any given reward function. HOMER can be applied
to problems with high-dimensional observations, and its theoretical guarantees
do not depend on the size of observation space.
We are hiring!
- For post-doc and full-time positions in reinforcement learning