About Me

I am an Assistant Professor in the School of Electrical, Computer, and Energy Engineering at the Arizona State University. Before this I was a Postdoctoral Fellow in the Electrical and Computer Engineering department at Rice University where I worked with Rich Baraniuk. And prior to that, I was at the Machine Learning Department at Carnegie Mellon University where I worked with Aarti Singh.
I received my M.S. and Ph.D. in Electrical Engineering in 2010 and 2014 respectively from the University of Wisconsin - Madison, where I was advised by Rob Nowak and Stark Draper. Before that, I received my B. Tech in Electronics and Communication Engineering in 2008 from VIT University.
My research interests span topics in Machine Learning, Statistics, Signal Processing, Networked Systems, and Information Theory. More on my research can be found here.


Goldwater Center (GWC) 324
650 E Tyler Mall
Tempe, Arizona 85281

[first name]d@asu.edu

Selected Recent Papers

Full List

Coalescent-Based Species Tree Estimation: A Stochastic Farris Transform

G. Dasarathy, E. Mossel, R. Nowak, and S. Roch

Sketched Covariance Testing: A Compression-Statistics Tradeoff

G. Dasarathy, P. Shah, and R. Baraniuk
(ISIT 17) IEEE International Symposium of Information Theory, Aachen, Germany, June 2017

Multi-fidelity Gaussian Process Bandit Optimisation

K. Kandasamy, G. Dasarathy, J. Oliva, B. Poczos, and J. Schneider
Submitted, March 2017
arXiv   pdf

The Multi-fidelity Multi-armed Bandit

K. Kandasamy, G. Dasarathy, B. Poczos, and J. Schneider
(NIPS 16) Advances in Neural Information Processing Systems, Barcelona, Spain, December 2016

Active Learning Algorithms for Graphical Model Selection

G. Dasarathy, A. Singh, M. F. Balcan, and J. H. Park
(AISTATS 16) International Conference on Artificial Intelligence and Statistics (AISTATS) 2016, Cadiz, Spain, May 2016 [Full Oral Presentation]
pdf    supplementary   publisher's website