| 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 | 223 | 2017 |
| 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 | 139 | 2016 |
| Learning non-overlapping convolutional neural networks with multiple kernels K Zhong, Z Song, IS Dhillon arXiv preprint arXiv:1711.03440, 2017 | 52 | 2017 |
| Efficient matrix sensing using rank-1 gaussian measurements K Zhong, P Jain, IS Dhillon International conference on algorithmic learning theory, 3-18, 2015 | 40 | 2015 |
| Mixed Linear Regression with Multiple Components. K Zhong, P Jain, IS Dhillon NIPS, 2190-2198, 2016 | 37 | 2016 |
| Coordinate-wise Power Method. Q Lei, K Zhong, IS Dhillon NIPS, 2056-2064, 2016 | 37 | 2016 |
| 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 | 35 | 2020 |
| 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 | 33 | 2016 |
| Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent. IEH Yen, K Zhong, CJ Hsieh, P Ravikumar, IS Dhillon NIPS 3 (2), 3.2, 2015 | 29 | 2015 |
| Proximal quasi-newton for computationally intensive l1-regularized m-estimators K Zhong, IEH Yen, IS Dhillon, P Ravikumar arXiv preprint arXiv:1406.7321, 2014 | 24 | 2014 |
| Binary classification with karmic, threshold-quasi-concave metrics B Yan, S Koyejo, K Zhong, P Ravikumar International Conference on Machine Learning, 5531-5540, 2018 | 17 | 2018 |
| Fast classification with binary prototypes K Zhong, R Guo, S Kumar, B Yan, D Simcha, I Dhillon Artificial Intelligence and Statistics, 1255-1263, 2017 | 13 | 2017 |
| Dual decomposed learning with Factorwise Oracles for structural SVMs of large output domain IEH Yen, X Huang, K Zhong, R Zhang, P Ravikumar, IS Dhillon Advances in neural information processing systems 29, 5030, 2016 | 10 | 2016 |
| 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 | 9 | 2019 |
| A convex exemplar-based approach to mad-bayes dirichlet process mixture models EH Yen, X Lin, K Zhong, P Ravikumar, I Dhillon International Conference on Machine Learning, 2418-2426, 2015 | 9 | 2015 |
| Provable non-linear inductive matrix completion K Zhong, Z Song, P Jain, IS Dhillon Advances in Neural Information Processing Systems 32, 11439-11449, 2019 | 8 | 2019 |
| Practical public PUF enabled by solving max-flow problem on chip M Li, J Miao, K Zhong, DZ Pan 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2016 | 8 | 2016 |
| A modular deep learning approach for extreme multi-label text classification WC Chang, HF Yu, K Zhong, Y Yang, I Dhillon arXiv preprint arXiv:1905.02331, 2019 | 7 | 2019 |
| Coordinate descent methods for symmetric nonnegative matrix factorization A Vandaele, N Gillis, Q Lei, K Zhong, I Dhillon arXiv preprint arXiv:1509.01404, 2015 | 7 | 2015 |
| 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 | 4 | 2017 |
Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinVerified email at cs.utexas.edu
