Rashish Tandon (राशीश टंडन)

me 

I am a graduate student (PhD) in the Department of Computer Science at UT Austin, advised by Pradeep Ravikumar and Alex Dimakis. My research interests span machine learning and optimization in high-dimensional, big data and distributed settings. I am currently on the job market looking for industry based research positions in machine learning.

Prior to joining UT Austin, I obtained a B.Tech/M.Tech(Dual Degree) in CS from IIT Kanpur in 2011.

Email :

Research

  • Gradient Coding : Avoiding stragglers in distributed Synchronous Gradient Descent
       R. Tandon, Q. Lei, A. Dimakis, N. Karampatziakis
       Submitted
       A shorter version appeared in the ML Systems Workshop (MLSyS), NIPS 2016 [pdf]

  • Kernel Ridge Regression via Partitioning [pdf] [code]
       R. Tandon, S. Si, P. Ravikumar, I. Dhillon
       Preprint

  • On the Information Theoretic Limits of Learning Ising Models [pdf]
       R. Tandon, K. Shanmugam, P. Ravikumar, A. Dimakis
       In the 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 303E - Elements of Computers and Programming,  UT Austin, Fall 2016

  • 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