Xi Chen

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Qihang LinThe University of IowaVerified email at uiowa.edu
Yuan ZhouDepartment of ISE, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Yining WangAssistant professor, Warrington College of Business, University of FloridaVerified email at warrington.ufl.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Yichen ZhangPurdue UniversityVerified email at purdue.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
Yuchen ZhangResearch Scientist at ByteDanceVerified email at microsoft.com
Xin T. TongNational University of SingaporeVerified email at nus.edu.sg
Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
Han LiuAssociate Professor, Department of Computer Science, Northwestern UniversityVerified email at princeton.edu
Javier PeñaCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Seyoung KimAssociate Professor of Computational Biology, Carnegie Mellon UniversityVerified email at cs.cmu.edu
David Simchi-LeviProfessor of Engineering Systems at MITVerified email at mit.edu
Tianyi LinUniversity of California, BerkeleyVerified email at berkeley.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Tzu-Kuo HuangResearch Scientist, Google BrainVerified email at google.com
Jieming MaoGoogle Research NYCVerified email at google.com
Rui GaoAssistant Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Eric HorvitzMicrosoft ResearchVerified email at microsoft.com

Xi Chen

Professor at New York University

Verified email at nyu.edu

Business Analytics Statistics Operations 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	809	2010
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	416*	2012
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	370	2013
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	367	2016
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	221	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	194*	2015
An efficient optimization algorithm for structured sparse cca, with applications to eqtl mapping X Chen, H Liu Statistics in Biosciences 4, 3-26, 2012	172*	2012
Variance reduction for stochastic gradient optimization C Wang, X Chen, AJ Smola, EP Xing Advances in neural information processing systems 26, 2013	138	2013
Distributional robustness and regularization in statistical learning R Gao, X Chen, AJ Kleywegt arXiv preprint arXiv:1712.06050, 2017	135	2017
A statistical learning approach to personalization in revenue management X Chen, Z Owen, C Pixton, D Simchi-Levi Management Science 68 (3), 1923-1937, 2022	130	2022
Direct robust matrix factorizatoin for anomaly detection L Xiong, X Chen, J Schneider 2011 IEEE 11th International Conference on Data Mining, 844-853, 2011	123	2011
Statistical inference for model parameters in stochastic gradient descent X Chen, JD Lee, XT Tong, Y Zhang	109*	2020
Optimal PAC multiple arm identification with applications to crowdsourcing Y Zhou, X Chen, J Li International Conference on Machine Learning, 217-225, 2014	103	2014
Quantile regression under memory constraint X Chen, W Liu, Y Zhang	98	2019
Optimal regularized dual averaging methods for stochastic optimization X Chen, Q Lin, J Pena Advances in Neural Information Processing Systems, 395-403, 2012	68*	2012
Fixed-support Wasserstein barycenters: Computational hardness and fast algorithm T Lin, N Ho, X Chen, M Cuturi, M Jordan Advances in Neural Information Processing Systems 33, 5368-5380, 2020	54*	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
Group sparse additive models J Yin, X Chen, EP Xing Proceedings of the... International Conference on Machine Learning …, 2012	47	2012
Dynamic assortment optimization with changing contextual information X Chen, Y Wang, Y Zhou The Journal of Machine Learning Research 21 (1), 8918-8961, 2020	46	2020
Distributed inference for linear support vector machine X Wang, Z Yang, X Chen, W Liu Journal of machine learning research 20, 2019	46	2019

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