Yining Wang

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Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityAdresse e-mail validée de cmu.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonAdresse e-mail validée de cs.washington.edu
Yu-Xiang WangAssociate Professor @ UC San DiegoAdresse e-mail validée de ucsd.edu
Tie-Yan LiuPresident, Zhongguancun Academy | IEEE Fellow | ACM Fellow | AAIA FellowAdresse e-mail validée de bjzgca.edu.cn
Yan XuProfessor of biological science and medical engineering, beihang universityAdresse e-mail validée de buaa.edu.cn
Anima AnandkumarCalifornia Institute of Technology and NVIDIAAdresse e-mail validée de caltech.edu
Yevgeniy VorobeychikWashington University in Saint LouisAdresse e-mail validée de wustl.edu
Bo LiUniversity of Illinois at Urbana–ChampaignAdresse e-mail validée de illinois.edu
Jun ZhuProfessor of Computer Science, Tsinghua UniversityAdresse e-mail validée de mail.tsinghua.edu.cn
Yong CuiProfessor of Computer Science, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Alex SmolaBoson AIAdresse e-mail validée de smola.org
James GlassMIT Computer Science and Artificial Intelligence LaboratoryAdresse e-mail validée de mit.edu
Panupong PasupatGoogleAdresse e-mail validée de cs.stanford.edu
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Eric I-Chao Chang (张益肇)Microsoft ResearchAdresse e-mail validée de microsoft.com
Jingjing LiuMassachusetts Institute of TechnologyAdresse e-mail validée de csail.mit.edu
Jiajun WuStanford UniversityAdresse e-mail validée de cs.stanford.edu
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoAdresse e-mail validée de ucsd.edu

Suivre

Yining Wang

Associate Professor, Naveen Jindal School of Management, University of Texas at Dallas

Adresse e-mail validée de warrington.ufl.edu - Page d'accueil

Machine learning Information Systems Operations Management


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	772	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	438	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	210	2014
Optimism in reinforcement learning with generalized linear function approximation Y Wang, R Wang, SS Du, A Krishnamurthy arXiv preprint arXiv:1912.04136, 2019	186	2019
Fast and guaranteed tensor decomposition via sketching Y Wang, HY Tung, AJ Smola, A Anandkumar Advances in neural information processing systems 28, 2015	156	2015
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	137	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	134*	2017
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	101*	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	91	2013
Differentially private subspace clustering Y Wang, YX Wang, A Singh Advances in Neural Information Processing Systems 28, 2015	90	2015
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	89	2013
Privacy-preserving dynamic personalized pricing with demand learning X Chen, D Simchi-Levi, Y Wang Management Science 68 (7), 4878-4898, 2022	87	2022
Nearly minimax-optimal regret for linearly parameterized bandits Y Li, Y Wang, Y Zhou Conference on Learning Theory, 2173-2174, 2019	83	2019
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	78	2014
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	75*	2018
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	72	2016
Multimodal dynamic pricing Y Wang, B Chen, D Simchi-Levi Management Science 67 (10), 6136-6152, 2021	71	2021
Dynamic assortment optimization with changing contextual information X Chen, Y Wang, Y Zhou Journal of machine learning research 21 (216), 1-44, 2020	71	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	71*	2018
On computationally tractable selection of experiments in measurement-constrained regression models Y Wang, AW Yu, A Singh Journal of Machine Learning Research 18 (143), 1-41, 2017	58	2017

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