Yining Wang
Yining Wang
Assistant professor, Warrington College of Business, University of Florida
Verified email at - Homepage
Cited by
Cited by
A theoretical analysis of NDCG type ranking measures
Y Wang, L Wang, Y Li, D He, TY Liu
Conference on learning theory, 25-54, 2013
Data poisoning attacks on factorization-based collaborative filtering
B Li, Y Wang, A Singh, Y Vorobeychik
Advances in neural information processing systems 29, 2016
FMTCP: A fountain code-based multipath transmission control protocol
Y Cui, L Wang, X Wang, H Wang, Y Wang
IEEE/ACM Transactions on Networking 23 (2), 465-478, 2014
Fast and guaranteed tensor decomposition via sketching
Y Wang, HY Tung, AJ Smola, A Anandkumar
Advances in neural information processing systems 28, 2015
Optimism in reinforcement learning with generalized linear function approximation
Y Wang, R Wang, SS Du, A Krishnamurthy
arXiv preprint arXiv:1912.04136, 2019
Stochastic zeroth-order optimization in high dimensions
Y Wang, S Du, S Balakrishnan, A Singh
International conference on artificial intelligence and statistics, 1356-1365, 2018
Near-optimal design of experiments via regret minimization
Z Allen-Zhu, Y Li, A Singh, Y Wang
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge
Y Xu, Y Wang, T Liu, J Tsujii, EIC Chang
Journal of the American Medical Informatics Association 20 (5), 849-858, 2013
How many samples are needed to estimate a convolutional or recurrent neural network?
SS Du, Y Wang, X Zhai, S Balakrishnan, R Salakhutdinov, A Singh
arXiv preprint arXiv:1805.07883, 2018
Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries
Y Xu, Y Wang, T Liu, J Liu, Y Fan, Y Qian, J Tsujii, EI Chang
Journal of the American Medical Informatics Association 21 (e1), e84-e92, 2014
Differentially private subspace clustering
Y Wang, YX Wang, A Singh
Advances in Neural Information Processing Systems 28, 2015
A theoretical analysis of noisy sparse subspace clustering on dimensionality-reduced data
Y Wang, YX Wang, A Singh
IEEE Transactions on Information Theory 65 (2), 685-706, 2018
Query understanding enhanced by hierarchical parsing structures
J Liu, P Pasupat, Y Wang, S Cyphers, J Glass
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 72-77, 2013
Nearly minimax-optimal regret for linearly parameterized bandits
Y Li, Y Wang, Y Zhou
Conference on Learning Theory, 2173-2174, 2019
An improved gap-dependency analysis of the noisy power method
MF Balcan, SS Du, Y Wang, AW Yu
Conference on Learning Theory, 284-309, 2016
Dynamic assortment optimization with changing contextual information
X Chen, Y Wang, Y Zhou
The Journal of Machine Learning Research 21 (1), 8918-8961, 2020
A note on a tight lower bound for capacitated MNL-bandit assortment selection models
X Chen, Y Wang
Operations Research Letters 46 (5), 534-537, 2018
Privacy-preserving dynamic personalized pricing with demand learning
X Chen, D Simchi-Levi, Y Wang
Management Science 68 (7), 4878-4898, 2022
On computationally tractable selection of experiments in measurement-constrained regression models
Y Wang, AW Yu, A Singh
The Journal of Machine Learning Research 18 (1), 5238-5278, 2017
Graph connectivity in noisy sparse subspace clustering
Y Wang, YX Wang, A Singh
Artificial Intelligence and Statistics, 538-546, 2016
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