Address: Microsoft Research,
641 6th Ave, New York,
New York, 10011
Dipendra Misra
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).
Research Interests:
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. One key research agenda is to
develop provably-efficient reinforcement learning algorithms that can be applied to
real-world problems. Another agenda is to develop the theory and practice of
self-supervised representation learning methods. I also have interest
in computational social science, and data and society.
News: We have a new reinforcement learning algorithm HOMER, with theoretical guarantees on problems with high-dimensional observations that do not depend on the size of observation space. See the current version on arXiv. ICML 2020 version and code to be released soon.
We are hiring!- For post-doc and full-time positions in reinforcement learning apply here.
Opinion: ICLR 2020 is going virtual and that is a good thing. Virtual conferences can be better! My post.
Quick Links: MSR Reinforcement Learning Group, A Bandit Game, CIFF Code Base, My Blog, RL Formulas
