Rashish Tandon (राशीश टंडन)


I am a graduate student (PhD) in the Department of Computer Science at UT Austin, where my advisor is Pradeep Ravikumar. My research interests comprise algorithms for Machine Learning and Optimization, particularly in high-dimensional settings. Prior to joining UT Austin, I obtained a B.Tech/M.Tech(Dual Degree) in CS from IIT Kanpur in 2011.

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  • On the Information Theoretic Limits of Learning Ising Models [pdf]
       R. Tandon, K. Shanmugam, P. Ravikumar, A. Dimakis
       In Advances in Neural Information Processing Systems (NIPS), 2014

  • Learning Graphs with a Few Hubs [pdf] [appendix]
       R.Tandon, P.Ravikumar
       In the International Conference on Machine Learning (ICML), 2014

  • Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization [pdf]
       A. Agarwal, A. Anandkumar, P. Jain, P. Netrapalli and R. Tandon
       In the Conference on Learning Theory (COLT), 2014

  • On the Difficulty of Learning Power-Law Graphical Models [pdf]
       R. Tandon, P. Ravikumar
       In the IEEE International Symposium on Information Theory (ISIT), 2013

Teaching Experience

  • Teaching Assistant,  CS 378 - Statistical Learning and Data Mining,  UT Austin, Spring 2013

  • Teaching Assistant,  ESC 101 - Fundamentals of Computing,  IIT Kanpur,  Aug - Nov 2010