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Kai Zhong
Kai Zhong
Applied Scientist, Amazon
Verified email at amazon.com
Title
Cited by
Cited by
Year
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
2682017
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
1732016
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
115*2020
Learning non-overlapping convolutional neural networks with multiple kernels
K Zhong, Z Song, IS Dhillon
arXiv preprint arXiv:1711.03440, 2017
622017
Efficient matrix sensing using rank-1 gaussian measurements
K Zhong, P Jain, IS Dhillon
International conference on algorithmic learning theory, 3-18, 2015
542015
Mixed linear regression with multiple components
K Zhong, P Jain, IS Dhillon
Advances in neural information processing systems 29, 2016
482016
Coordinate-wise power method
Q Lei, K Zhong, IS Dhillon
Advances in Neural Information Processing Systems 29, 2016
462016
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
412016
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
322015
Binary classification with karmic, threshold-quasi-concave metrics
B Yan, S Koyejo, K Zhong, P Ravikumar
International Conference on Machine Learning, 5531-5540, 2018
232018
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
232014
PECOS: Prediction for enormous and correlated output spaces
HF Yu, K Zhong, J Zhang, WC Chang, IS Dhillon
Journal of Machine Learning Research 23 (98), 1-32, 2022
162022
Fast classification with binary prototypes
K Zhong, R Guo, S Kumar, B Yan, D Simcha, I Dhillon
Artificial intelligence and statistics, 1255-1263, 2017
162017
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
122019
Provable non-linear inductive matrix completion
K Zhong, Z Song, P Jain, IS Dhillon
Advances in Neural Information Processing Systems 32, 2019
122019
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
102021
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
102016
A modular deep learning approach for extreme multi-label text classification
WC Chang, HF Yu, K Zhong, Y Yang, IS Dhillon
92019
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
92016
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
82015
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Articles 1–20