Research

• PhD Thesis: On Structured and Distributed Learning pdf
  R. Tandon
• Gradient Coding from Cyclic MDS Codes and Expander Graphs pdf
  N. Raviv, I. Tamo, R. Tandon, A. Dimakis
  Transactions on Information Theory, 2020
  Also appeared in the International Conference on Machine Learning (ICML), 2018
• Gradient Coding: Avoiding Stragglers in Distributed Synchronous Gradient Descent pdfcode
  R. Tandon, Q. Lei, A. Dimakis, N. Karampatziakis
  International Conference on Machine Learning (ICML), 2017
  A shorter version appeared in the ML Systems Workshop (MLSyS), NIPS 2016
• Kernel Ridge Regression via Partitioning pdfcode
  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
  Advances in Neural Information Processing Systems (NIPS), 2014
• Learning Graphs with a Few Hubs pdfappendix
  R. Tandon, P. Ravikumar
  International Conference on Machine Learning (ICML), 2014
• Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization pdf
  A. Agarwal, A. Anandkumar, P. Jain, P. Netrapalli, R. Tandon
  Conference on Learning Theory (COLT), 2014
• On the Difficulty of Learning Power-Law Graphical Models pdf
  R. Tandon, P. Ravikumar
  IEEE International Symposium on Information Theory (ISIT), 2013