Rahul Mazumder
Nanyang Technological University Associate Professor of Operations Research and Statistics and Associate Professor, Operations Research and Statistics
Categories
Rahul Mazumder is the Nanyang Technological University Associate Professor of Operations Research and Statistics and associate professor of Operations Research and Statistics at the MIT Sloan School of Management. He is also affiliated with MIT’s Operations Research Center and Center for Statistics and Data Science. His research interests are in statistical machine learning, large scale mathematical optimization; and their applications in recommender systems, computational biology, computational social science and finance. Before joining MIT, Mazumder was an assistant professor at Columbia University. He earned a PhD in statistics from Stanford University.
Publications
- Mazumder, R., Saldana, D. F., Weng, H. (2020). Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms. Journal of Statistics and Computing, 1-26.
- Hazimeh, H. and Mazumder, R. (2020). Learning Hierarchical Interactions at Scale: A Convex Optimization Approach. The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS).
- Hazimeh, H., and Mazumder, R. (2020). Fast best subset selection: Coordinate descent and local combinatorial optimization algorithms. Operations Research.
Media
- February 24, 2018: IDSS News, Congratulations to SDSC’s Moitra and Mazumder, recipients of Office of Naval Research 2018 Young Investigator Award.
- June 15, 2015: BuzzFeed News, Can An Algorithm Do The Job Of A Historian?