Nagarajan Natarajan

Cited by

	All	Since 2016
Citations	2110	1783
h-index	15	15
i10-index	16	16

420

210

105

315

2011201220132014201520162017201820192020202110 20 37 74 149 197 262 343 406 415 160

Public access

View all

5 articles

1 article

available

not available

Based on funding mandates

Co-authors

Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
Ambuj Tewari | अम्बुज तिवारीAssociate Professor, Department of Statistics and Department of EECS, University of MichiganVerified email at umich.edu
Pradeep RavikumarAssociate Professor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Prateek JainMicrosoft Research IndiaVerified email at microsoft.com
Sanmi KoyejoAssistant Professor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Edward MarcotteProfessor of Molecular Biosciences, University of Texas at AustinVerified email at utexas.edu
Zhengdong LuDeeplyCurious.aiVerified email at deeplycurious.ai
Aditya Krishna MenonResearch Scientist, GoogleVerified email at google.com
Donghyuk ShinArizona State UniversityVerified email at asu.edu
Prithviraj SenIBM ResearchVerified email at us.ibm.com
Vineet ChaojiScientist, AmazonVerified email at amazon.com
Berkant SavasDepartment of Science and Technology, Linköping UniversityVerified email at liu.se
Krzysztof DembczyńskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
Wojciech KotlowskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
Kamalika ChaudhuriAssociate Professor of Computer Science, University of California, San DiegoVerified email at eng.ucsd.edu
Nikhil RaoAmazonVerified email at amazon.com

Nagarajan Natarajan

Researcher, Microsoft Research India

Verified email at microsoft.com - Homepage

Machine Learning Statistical Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning with noisy labels. N Natarajan, IS Dhillon, P Ravikumar, A Tewari NIPS 26, 1196-1204, 2013	699	2013
Inductive matrix completion for predicting gene–disease associations N Natarajan, IS Dhillon Bioinformatics 30 (12), i60-i68, 2014	267	2014
Exploiting Longer Cycles for Link Prediction in Signed Networks KY Chiang, N Natarajan, A Tewari, IS Dhillon	167	2011
Prediction and clustering in signed networks: a local to global perspective KY Chiang, CJ Hsieh, N Natarajan, IS Dhillon, A Tewari The Journal of Machine Learning Research 15 (1), 1177-1213, 2014	148	2014
Prediction and validation of gene-disease associations using methods inspired by social network analyses UM Singh-Blom, N Natarajan, A Tewari, JO Woods, IS Dhillon, ... PloS one 8 (5), e58977, 2013	136	2013
PU learning for matrix completion CJ Hsieh, N Natarajan, I Dhillon International Conference on Machine Learning, 2445-2453, 2015	121	2015
Consistent binary classification with generalized performance metrics O Koyejo, N Natarajan, PK Ravikumar, IS Dhillon Neural Information Processing Systems (NIPS), 2014	120	2014
Which app will you use next? Collaborative filtering with interactional context N Natarajan, D Shin, IS Dhillon Proceedings of the 7th ACM conference on Recommender systems, 201-208, 2013	93	2013
Consistent Multilabel Classification. O Koyejo, N Natarajan, P Ravikumar, IS Dhillon NIPS 29, 3321-3329, 2015	59	2015
Affiliation recommendation using auxiliary networks V Vasuki, N Natarajan, Z Lu, IS Dhillon Proceedings of the fourth ACM conference on Recommender systems, 103-110, 2010	49	2010
Community detection in content-sharing social networks VC Nagarajan Natarajan, Prithviraj Sen Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013	48	2013
Scalable affiliation recommendation using auxiliary networks V Vasuki, N Natarajan, Z Lu, B Savas, I Dhillon ACM Transactions on Intelligent Systems and Technology (TIST) 3 (1), 3, 2011	47	2011
Learning from binary labels with instance-dependent corruption AK Menon, B Van Rooyen, N Natarajan arXiv preprint arXiv:1605.00751, 2016	33	2016
Cost-Sensitive Learning with Noisy Labels. N Natarajan, IS Dhillon, P Ravikumar, A Tewari J. Mach. Learn. Res. 18 (1), 5666-5698, 2017	30	2017
Learning from binary labels with instance-dependent noise AK Menon, B Van Rooyen, N Natarajan Machine Learning 107 (8), 1561-1595, 2018	29	2018
Consistency analysis for binary classification revisited K Dembczyński, W Kotłowski, O Koyejo, N Natarajan International Conference on Machine Learning, 961-969, 2017	15	2017
Distributional semantics meets multi-label learning V Gupta, R Wadbude, N Natarajan, H Karnick, P Jain, P Rai Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3747-3754, 2019	8	2019
Active heteroscedastic regression K Chaudhuri, P Jain, N Natarajan International Conference on Machine Learning, 694-702, 2017	8	2017
Optimal classification with multivariate losses N Natarajan, O Koyejo, P Ravikumar, I Dhillon International Conference on Machine Learning, 1530-1538, 2016	7	2016
PU matrix completion with graph information N Natarajan, N Rao, I Dhillon 2015 IEEE 6th international workshop on computational advances in multi …, 2015	6	2015

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors