Anuran Makur
I am an Assistant Professor in the Department of Computer Science (CS) and the Elmore Family School of Electrical and Computer Engineering (ECE) at Purdue University, where I am also affiliated with the Institute for Control, Optimization and Networks (ICON). Previously, I completed my Sc.D. from the Department of Electrical Engineering and Computer Science (EECS) at Massachusetts Institute of Technology (MIT) and was also a postdoctoral researcher in the Laboratory for Information and Decision Systems (LIDS) and the Institute for Data, Systems, and Society (IDSS) at MIT.
Research Interests
I am broadly interested in theoretical EECS, statistics, and related applied mathematics problems. In particular, my research interests are in:
- Information Theory
- information/functional inequalities and information contraction
- information theoretic methods for statistical inference
- fundamental limits of permutation channels
- Combinatorial Statistics
- reconstruction/broadcasting on graphs
- interacting particle systems
- reliable computation using noisy circuits
- Theory of Machine Learning
- ranking and preference learning
- optimization for machine learning
- non-parametric and high-dimensional estimation
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