| Recovery guarantees for one-hidden-layer neural networks K Zhong, Z Song, P Jain, PL Bartlett, IS Dhillon International conference on machine learning, 4140-4149, 2017 | 330 | 2017 |
| Taming pretrained transformers for extreme multi-label text classification WC Chang, HF Yu, K Zhong, Y Yang, IS Dhillon Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 235* | 2020 |
| Pd-sparse: A primal and dual sparse approach to extreme multiclass and multilabel classification IEH Yen, X Huang, P Ravikumar, K Zhong, I Dhillon International conference on machine learning, 3069-3077, 2016 | 209 | 2016 |
| Efficient matrix sensing using rank-1 gaussian measurements K Zhong, P Jain, IS Dhillon Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff …, 2015 | 71 | 2015 |
| Learning non-overlapping convolutional neural networks with multiple kernels K Zhong, Z Song, IS Dhillon arXiv preprint arXiv:1711.03440, 2017 | 67 | 2017 |
| Mixed linear regression with multiple components K Zhong, P Jain, IS Dhillon Advances in neural information processing systems 29, 2016 | 65 | 2016 |
| Pecos: Prediction for enormous and correlated output spaces HF Yu, K Zhong, J Zhang, WC Chang, IS Dhillon the Journal of machine Learning research 23 (1), 4233-4264, 2022 | 53 | 2022 |
| Coordinate-wise power method Q Lei, K Zhong, IS Dhillon Advances in Neural Information Processing Systems 29, 2016 | 50 | 2016 |
| Efficient and non-convex coordinate descent for symmetric nonnegative matrix factorization A Vandaele, N Gillis, Q Lei, K Zhong, I Dhillon IEEE Transactions on Signal Processing 64 (21), 5571-5584, 2016 | 47 | 2016 |
| Extreme multi-label learning for semantic matching in product search WC Chang, D Jiang, HF Yu, CH Teo, J Zhang, K Zhong, K Kolluri, Q Hu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 40 | 2021 |
| Sparse linear programming via primal and dual augmented coordinate descent IEH Yen, K Zhong, CJ Hsieh, PK Ravikumar, IS Dhillon Advances in Neural Information Processing Systems 28, 2015 | 36 | 2015 |
| Binary classification with karmic, threshold-quasi-concave metrics B Yan, S Koyejo, K Zhong, P Ravikumar International Conference on Machine Learning, 5531-5540, 2018 | 28 | 2018 |
| Proximal quasi-newton for computationally intensive l1-regularized m-estimators K Zhong, IEH Yen, IS Dhillon, PK Ravikumar Advances in Neural Information Processing Systems 27, 2014 | 28 | 2014 |
| Provable non-linear inductive matrix completion K Zhong, Z Song, P Jain, IS Dhillon Advances in Neural Information Processing Systems 32, 2019 | 20 | 2019 |
| Fast classification with binary prototypes K Zhong, R Guo, S Kumar, B Yan, D Simcha, I Dhillon Artificial intelligence and statistics, 1255-1263, 2017 | 19 | 2017 |
| A modular deep learning approach for extreme multi-label text classification WC Chang, HF Yu, K Zhong, Y Yang, IS Dhillon arXiv preprint arXiv:1905.02331, 2019 | 18 | 2019 |
| X-bert: extreme multi-label text classification with bert WC Chang, HF Yu, K Zhong, Y Yang, I Dhillon arXiv preprint arXiv:1905.02331, 2019 | 16 | 2019 |
| Practical public PUF enabled by solving max-flow problem on chip M Li, J Miao, K Zhong, DZ Pan Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 10 | 2016 |
| Dual decomposed learning with factorwise oracle for structural svm of large output domain IEH Yen, X Huang, K Zhong, R Zhang, PK Ravikumar, IS Dhillon Advances in neural information processing systems 29, 2016 | 10 | 2016 |
| Fast second-order cone programming for safe mission planning K Zhong, P Jain, A Kapoor 2017 IEEE International Conference on Robotics and Automation (ICRA), 79-86, 2017 | 8 | 2017 |
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
