Nirav Bhan (2012)

Internship project topic:

Discrete Structured Sparsity Models and Dynamic Programming.


Nirav Bhan is currently a second year graduate student in EECS at Massachusetts Institute of Technology. He is member of the Laboratory of Information and Decision Systems (LIDS). His interests are in optimization, machine learning, graphical models, and applying mathematics to solve problems. Prior to being a graduate student, Nirav obtained a B.Tech degree in Electrical Engineering along with a Minor in Computer Science, from the Indian Institute of Technology-Bombay. He has worked as a research assistant at LIONS, EPFL, during the period of May to July, 2012.

Publications (most recent)

Group-Sparse Model Selection: Hardness and Relaxations

L. Baldassarre; N. Bhan; V. Cevher; A. Kyrillidis 

IEEE Transactions on Information Theory. 2016. Vol. 62, num. 11, p. 6508-6534. DOI : 10.1109/TIT.2016.2602222.

Tractability of interpretability via selection of group-sparse models

N. Bhan; L. Baldassarre; V. Cevher 

2013. IEEE International Symposium on Information Theory Proceedings (ISIT), 2013, Istanbul, Turkey, July 7-13, 2013. DOI : 10.1109/ISIT.2013.6620384.