Xi Chen

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Qihang LinThe University of IowaVerified email at uiowa.edu
Jaime CarbonellProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yuan ZhouDepartment of ISE, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Denny ZhouResearch Scientist, Google BrainVerified email at google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
Han LiuAssistant Professor, Operations Research and Financial Engineering, Princeton UniversityVerified email at princeton.edu
Javier PeñaCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Seyoung KimAssistant Professor of Computational Biology, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Xin T. TongNational University of SingaporeVerified email at nus.edu.sg
Tzu-Kuo HuangResearch Scientist, Google BrainVerified email at google.com
Yichen ZhangPurdue UniversityVerified email at purdue.edu
Yuchen ZhangPrincipal Researcher at MicrosoftVerified email at microsoft.com
Jieming MaoGoogle Research NYCVerified email at google.com
Tianyi LinUniversity of California, BerkeleyVerified email at berkeley.edu
Eric HorvitzMicrosoft ResearchVerified email at microsoft.com
Paul N. BennettPartner Research Manager, Microsoft ResearchVerified email at microsoft.com
Kevyn Collins-ThompsonAssociate Professor, University of MichiganVerified email at acm.org
Jason D. LeeAssistant Professor of Electrical Engineering, Princeton UniversityVerified email at princeton.edu

Xi Chen

Professor at New York University

Verified email at nyu.edu - Homepage

Machine Learning Statistics Operations Research/Management


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Temporal collaborative filtering with bayesian probabilistic tensor factorization L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell	671	2010
Spectral methods meet EM: A provably optimal algorithm for crowdsourcing Y Zhang, X Chen, D Zhou, MI Jordan The Journal of Machine Learning Research 17 (1), 3537-3580, 2016	316	2016
Pairwise ranking aggregation in a crowdsourced setting X Chen, PN Bennett, K Collins-Thompson, E Horvitz Proceedings of the sixth ACM international conference on Web search and data …, 2013	311	2013
Smoothing proximal gradient method for general structured sparse regression X Chen, Q Lin, S Kim, JG Carbonell, EP Xing The Annals of Applied Statistics 6 (2), 719-752, 2012	291*	2012
Accelerated gradient method for multi-task sparse learning problem X Chen, W Pan, JT Kwok, JG Carbonell 2009 Ninth IEEE International Conference on Data Mining, 746-751, 2009	200	2009
Statistical decision making for optimal budget allocation in crowd labeling X Chen, Q Lin, D Zhou The Journal of Machine Learning Research 16 (1), 1-46, 2015	172*	2015
An efficient optimization algorithm for structured sparse cca, with applications to eqtl mapping X Chen, H Liu Statistics in Biosciences 4 (1), 3-26, 2012	149*	2012
Variance reduction for stochastic gradient optimization C Wang, X Chen, A Smola, E P Xing Carnegie Mellon University, 2013	119	2013
Direct robust matrix factorizatoin for anomaly detection L Xiong, X Chen, J Schneider 2011 IEEE 11th International Conference on Data Mining, 844-853, 2011	104	2011
Wasserstein distributional robustness and regularization in statistical learning R Gao, X Chen, AJ Kleywegt arXiv e-prints, arXiv: 1712.06050, 2017	97*	2017
Optimal PAC multiple arm identification with applications to crowdsourcing Y Zhou, X Chen, J Li International Conference on Machine Learning, 217-225, 2014	90	2014
A statistical learning approach to personalization in revenue management X Chen, Z Owen, C Pixton, D Simchi-Levi Management Science, 2021	64	2021
Optimal regularized dual averaging methods for stochastic optimization X Chen, Q Lin, J Pena Advances in Neural Information Processing Systems, 395-403, 2012	57*	2012
Statistical inference for model parameters in stochastic gradient descent X Chen, JD Lee, XT Tong, Y Zhang The Annals of Statistics 48 (1), 251-273, 2020	53*	2020
Sparse latent semantic analysis X Chen, Y Qi, B Bai, Q Lin, JG Carbonell SIAM 2011 International Conference on Data Mining, 2011	53	2011
Graph-based feature selection for object-oriented classification in VHR airborne imagery X Chen, T Fang, H Huo, D Li IEEE Transactions on Geoscience and Remote Sensing 49 (1), 353-365, 2010	48	2010
Group sparse additive models J Yin, X Chen, EP Xing Proceedings of the... International Conference on Machine Learning …, 2012	39	2012
Multi-target QSAR modelling in the analysis and design of HIV-HCV co-inhibitors: an in-silico study Q Liu, H Zhou, L Liu, X Chen, R Zhu, Z Cao BMC bioinformatics 12 (1), 1-20, 2011	38	2011
Quantile regression under memory constraint X Chen, W Liu, Y Zhang The Annals of Statistics 47 (6), 3244-3273, 2019	34	2019
Optimal Instance Adaptive Algorithm for the Top-Ranking Problem X Chen, S Gopi, J Mao, J Schneider IEEE Transactions on Information Theory 64 (9), 6139-6160, 2018	34*	2018

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