Associate Professor of Statistics, Associate Professor of Electrical Engineering and Computer Science (by courtesy)
About
Dr. Tewari's primary area of research is machine learning. He likes working on the mathematical foundations of machine learning algorithms as well as finding new application areas for machine learning. Topics he has worked on recently include statistical learning theory, online learning, bandit problems, reinforcement learning, high-dimensional statistics, and optimization for large-scale learning. He is also working on applications of machine learning to problems in behavioral sciences, computational chemistry, computational biology, learning sciences and complex networks
A full list of publications is available at Dr. Tewari's personal website.
Affiliations
Associate Professor of Statistics
Associate Professor of Electrical Engineering and Computer Science (by courtesy)
Fields of Study
- Machine learning
- Statistical learning theory
- Optimization
- Networks
- Mobile Health
- Computational Chemistry
Award(s)
- Sloan Research Fellowship, 2017
- NSF CAREER award, 2015
- Best Paper Award, Annual Conference on Learning Theory (COLT), 2011
- Student Paper Award, Annual Conference on Learning Theory (COLT), 2005
- Indian National Mathematical Olympiad (INMO) Award, NBHM, Government of India, 1997
- National Talent Search Examination (NTSE) Scholarship, NCERT, Government of India, 1996
