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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
3502017
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
268*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
2142016
Efficient matrix sensing using rank-1 gaussian measurements
K Zhong, P Jain, IS Dhillon
Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff …, 2015
762015
Learning non-overlapping convolutional neural networks with multiple kernels
K Zhong, Z Song, IS Dhillon
arXiv preprint arXiv:1711.03440, 2017
722017
Mixed linear regression with multiple components
K Zhong, P Jain, IS Dhillon
Advances in neural information processing systems 29, 2016
712016
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
642022
Coordinate-wise power method
Q Lei, K Zhong, IS Dhillon
Advances in Neural Information Processing Systems 29, 2016
512016
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
502016
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
492021
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
372015
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
302014
Binary classification with karmic, threshold-quasi-concave metrics
B Yan, S Koyejo, K Zhong, P Ravikumar
International Conference on Machine Learning, 5531-5540, 2018
292018
Provable non-linear inductive matrix completion
K Zhong, Z Song, P Jain, IS Dhillon
Advances in Neural Information Processing Systems 32, 2019
212019
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
202019
Fast classification with binary prototypes
K Zhong, R Guo, S Kumar, B Yan, D Simcha, I Dhillon
Artificial intelligence and statistics, 1255-1263, 2017
192017
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
172019
Behavior-driven query similarity prediction based on pre-trained language models for e-commerce search
Y Huang, J Gesi, X Hong, H Cheng, K Zhong, V Mittal, Q Cui, V Salaka
142023
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
102016
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
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