| Non-convex optimization for machine learning P Jain, P Kar Foundations and Trends® in Machine Learning 10 (3-4), 142-363, 2017 | 654 | 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 | 588 | 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 | 560 | 2015 |
| Random feature maps for dot product kernels P Kar, H Karnick Artificial intelligence and statistics, 583-591, 2012 | 309 | 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 | 272 | 2014 |
| Robust regression via hard thresholding K Bhatia, P Jain, P Kar Advances in neural information processing systems 28, 2015 | 199 | 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 | 161 | 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 | 142 | 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 | 126 | 2018 |
| Consistent robust regression K Bhatia, P Jain, P Kamalaruban, P Kar Advances in Neural Information Processing Systems 30, 2017 | 115 | 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 | 90 | 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 | 82 | 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 | 80 | 2021 |
| The extreme classification repository: Multi-label datasets and code, 2016 K Bhatia, K Dahiya, H Jain, P Kar, A Mittal, Y Prabhu, M Varma URL http://manikvarma. org/downloads/XC/XMLRepository. html 17, 2017 | 79 | 2017 |
| 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 | 69 | 2021 |
| Corruption-tolerant bandit learning S Kapoor, KK Patel, P Kar Machine Learning 108 (4), 687-715, 2019 | 67 | 2019 |
| Optimizing non-decomposable performance measures: A tale of two classes H Narasimhan, P Kar, P Jain International Conference on Machine Learning, 199-208, 2015 | 65 | 2015 |
| 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 | 63 | 2016 |
| 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 | 56 | 2016 |
| Siamesexml: Siamese networks meet extreme classifiers with 100m labels K Dahiya, A Agarwal, D Saini, K Gururaj, J Jiao, A Singh, S Agarwal, ... International conference on machine learning, 2330-2340, 2021 | 50 | 2021 |
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