Karthikeyan  Shanmugam
Karthikeyan Shanmugam
Research Staff Member, IBM Research
Verified email at ibm.com - Homepage
TitleCited byYear
Femtocaching: Wireless content delivery through distributed caching helpers
K Shanmugam, N Golrezaei, AG Dimakis, AF Molisch, G Caire
IEEE Transactions on Information Theory 59 (12), 8402-8413, 2013
15502013
Finite-length analysis of caching-aided coded multicasting
K Shanmugam, M Ji, AM Tulino, J Llorca, AG Dimakis
IEEE Transactions on Information Theory 62 (10), 5524-5537, 2016
1032016
Local graph coloring and index coding
K Shanmugam, AG Dimakis, M Langberg
2013 IEEE International Symposium on Information Theory, 1152-1156, 2013
852013
Coded caching with linear subpacketization is possible using Ruzsa-Szeméredi graphs
K Shanmugam, AM Tulino, AG Dimakis
2017 IEEE International Symposium on Information Theory (ISIT), 1237-1241, 2017
372017
A repair framework for scalar MDS codes
K Shanmugam, DS Papailiopoulos, AG Dimakis, G Caire
IEEE Journal on Selected Areas in Communications 32 (5), 998-1007, 2014
372014
Wireless video content delivery through coded distributed caching
N Golrezaei, K Shanmugam, AG Dimakis, AF Molisch, G Caire
2012 IEEE International Conference on Communications (ICC), 2467-2472, 2012
372012
An efficient multiple-groupcast coded multicasting scheme for finite fractional caching
M Ji, K Shanmugam, G Vettigli, J Llorca, AM Tulino, G Caire
2015 IEEE International Conference on Communications (ICC), 3801-3806, 2015
362015
Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs
AGD Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich
Proc. ACM SIGKDD International Conference on Knowledge Discovery and Data …, 2015
31*2015
Bounding multiple unicasts through index coding and locally repairable codes
K Shanmugam, AG Dimakis
2014 IEEE International Symposium on Information Theory, 296-300, 2014
302014
Graph theory versus minimum rank for index coding
K Shanmugam, AG Dimakis, M Langberg
2014 IEEE International Symposium on Information Theory, 291-295, 2014
282014
Learning causal graphs with small interventions
K Shanmugam, M Kocaoglu, AG Dimakis, S Vishwanath
Advances in Neural Information Processing Systems, 3195-3203, 2015
272015
Explanations based on the missing: Towards contrastive explanations with pertinent negatives
A Dhurandhar, PY Chen, R Luss, CC Tu, P Ting, K Shanmugam, P Das
Advances in Neural Information Processing Systems, 592-603, 2018
242018
On the information theoretic limits of learning Ising models
R Tandon, K Shanmugam, PK Ravikumar, AG Dimakis
Advances in Neural Information Processing Systems, 2303-2311, 2014
222014
Distributed estimation of graph 4-profiles
ER Elenberg, K Shanmugam, M Borokhovich, AG Dimakis
Proceedings of the 25th International Conference on World Wide Web, 483-493, 2016
212016
Model-powered conditional independence test
R Sen, AT Suresh, K Shanmugam, AG Dimakis, S Shakkottai
Advances in Neural Information Processing Systems, 2951-2961, 2017
182017
Causal Best Intervention Identification via Importance Sampling
R Sen, K Shanmugam, AG Dimakis, S Shakkottai
stat 1050, 10, 2017
17*2017
Experimental design for learning causal graphs with latent variables
M Kocaoglu, K Shanmugam, E Bareinboim
Advances in Neural Information Processing Systems, 7018-7028, 2017
132017
Contextual bandits with latent confounders: An nmf approach
R Sen, K Shanmugam, M Kocaoglu, AG Dimakis, S Shakkottai
arXiv preprint arXiv:1606.00119, 2016
132016
Tip: Typifying the interpretability of procedures
A Dhurandhar, V Iyengar, R Luss, K Shanmugam
arXiv preprint arXiv:1706.02952, 2017
122017
A formal framework to characterize interpretability of procedures
A Dhurandhar, V Iyengar, R Luss, K Shanmugam
arXiv preprint arXiv:1707.03886, 2017
112017
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