Purushottam Kar

Cited by

	All	Since 2019
Citations	4104	3102
h-index	26	24
i10-index	39	34

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201220132014201520162017201820192020202120222023202413 23 45 112 189 236 336 470 522 576 550 588 392

Co-authors

Prateek JainGoogle Research IndiaVerified email at google.com
Manik VarmaDistinguished Scientist and Vice President, Microsoft Research IndiaVerified email at microsoft.com
Kush BhatiaStanford UniversityVerified email at berkeley.edu
Harikrishna NarasimhanGoogle ResearchVerified email at google.com
Sumeet AgarwalIndian Institute of Technology DelhiVerified email at iitd.ac.in
Kunal DahiyaPhD Student, IIT DelhiVerified email at cse.iitd.ac.in
Anshul MittalMicrosoftVerified email at microsoft.com
Deepak SainiMicrosoft ResearchVerified email at microsoft.com
Shuai LiPresident, Chairman, Professor, Cambridge University, The University of Tokyo, Tsinghua UniversityVerified email at cam.ac.uk
Hsiang-Fu YuPrincipal Applied Scientist at AmazonVerified email at cs.utexas.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Amey KarkareFaculty, Department of Computer Science, IIT KanpurVerified email at iitk.ac.in
Sheshansh AgrawalMicrosoft ResearchVerified email at microsoft.com
Himanshu JainSoftware Engineer, GoogleVerified email at iitd.ac.in
Bhaskar MukhotyPostdoctoral Researcher, MBZUAIVerified email at mbzuai.ac.ae
sanjay chawlaQatar Computing Research Institute, HBKUVerified email at sydney.edu.au
Fabrizio SebastianiIstituto di Scienza e Tecnologie dell'Informazione, Consiglio Nazionale delle Ricerche (ISTI-CNR)Verified email at isti.cnr.it
Pawan KumarIIT KanpurVerified email at cse.iitk.ac.in
Umair Z. AhmedResearch Fellow, National University of Singapore (NUS)Verified email at nus.edu.sg
Jian JiaoMicrosoftVerified email at microsoft.com

Purushottam Kar

IIT Kanpur

Verified email at cse.iitk.ac.in - Homepage

Optimization Learning Theory Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Non-convex optimization for machine learning P Jain, P Kar Foundations and Trends® in Machine Learning 10 (3-4), 142-363, 2017	610	2017
Large-scale multi-label learning with missing labels HF Yu, P Jain, P Kar, I Dhillon International conference on machine learning, 593-601, 2014	575	2014
Sparse local embeddings for extreme multi-label classification K Bhatia, H Jain, P Kar, M Varma, P Jain Advances in neural information processing systems 28, 2015	539	2015
Random feature maps for dot product kernels P Kar, H Karnick Artificial intelligence and statistics, 583-591, 2012	300	2012
On iterative hard thresholding methods for high-dimensional m-estimation P Jain, A Tewari, P Kar Advances in neural information processing systems 27, 2014	256	2014
Robust regression via hard thresholding K Bhatia, P Jain, P Kar Advances in neural information processing systems 28, 2015	189	2015
On context-dependent clustering of bandits C Gentile, S Li, P Kar, A Karatzoglou, G Zappella, E Etrue International Conference on machine learning, 1253-1262, 2017	154	2017
The extreme classification repository: Multi-label datasets and code K Bhatia, K Dahiya, H Jain, P Kar, A Mittal, Y Prabhu, M Varma URL http://manikvarma. org/downloads/XC/XMLRepository. html, 2016	125	2016
Compilation error repair: for the student programs, from the student programs UZ Ahmed, P Kumar, A Karkare, P Kar, S Gulwani Proceedings of the 40th International Conference on Software Engineering …, 2018	119	2018
Consistent robust regression K Bhatia, P Jain, P Kamalaruban, P Kar Advances in Neural Information Processing Systems 30, 2017	111	2017
On the generalization ability of online learning algorithms for pairwise loss functions P Kar, B Sriperumbudur, P Jain, H Karnick International Conference on Machine Learning, 441-449, 2013	88	2013
Online and stochastic gradient methods for non-decomposable loss functions P Kar, H Narasimhan, P Jain Advances in Neural Information Processing Systems 27, 2014	79	2014
Decaf: Deep extreme classification with label features A Mittal, K Dahiya, S Agrawal, D Saini, S Agarwal, P Kar, M Varma Proceedings of the 14th ACM international conference on web search and data …, 2021	77	2021
Corruption-tolerant bandit learning S Kapoor, KK Patel, P Kar Machine Learning 108 (4), 687-715, 2019	62	2019
Online optimization methods for the quantification problem P Kar, S Li, H Narasimhan, S Chawla, F Sebastiani Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	62	2016
Optimizing non-decomposable performance measures: A tale of two classes H Narasimhan, P Kar, P Jain International Conference on Machine Learning, 199-208, 2015	60	2015
ECLARE: Extreme classification with label graph correlations A Mittal, N Sachdeva, S Agrawal, S Agarwal, P Kar, M Varma Proceedings of the Web Conference 2021, 3721-3732, 2021	59	2021
Optimizing the multiclass F-measure via biconcave programming H Narasimhan, W Pan, P Kar, P Protopapas, HG Ramaswamy 2016 IEEE 16th international conference on data mining (ICDM), 1101-1106, 2016	52	2016
Similarity-based learning via data driven embeddings P Kar, P Jain Advances in neural information processing systems 24, 2011	49	2011
Surrogate functions for maximizing precision at the top P Kar, H Narasimhan, P Jain International Conference on Machine Learning, 189-198, 2015	47	2015

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