Xi Chen

引用次数

	总计	2019 年至今
引用	6152	3970
h 指数	38	34
i10 指数	71	67

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Qihang LinThe University of Iowa在 uiowa.edu 的电子邮件经过验证
Yining WangAssistant professor, Warrington College of Business, University of Florida在 warrington.ufl.edu 的电子邮件经过验证
Yuan ZhouDepartment of ISE, University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
Yichen ZhangPurdue University在 purdue.edu 的电子邮件经过验证
Denny ZhouResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley在 cs.berkeley.edu 的电子邮件经过验证
David Simchi-LeviProfessor of Engineering Systems at MIT在 mit.edu 的电子邮件经过验证
Yuchen ZhangResearch Scientist at ByteDance在 microsoft.com 的电子邮件经过验证
Xin T. TongNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
Jeff SchneiderCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern University在 northwestern.edu 的电子邮件经过验证
Javier PeñaCarnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Tianyi LinColumbia University在 columbia.edu 的电子邮件经过验证
Tzu-Kuo HuangResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton University在 princeton.edu 的电子邮件经过验证
Seyoung KimAssociate Professor, Department of Epidemiology, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
Jieming MaoGoogle Research NYC在 google.com 的电子邮件经过验证
Rui GaoAssistant Professor, University of Texas at Austin在 mccombs.utexas.edu 的电子邮件经过验证
Xiaojun MaoShanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证

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Xi Chen

Professor at New York University

在 nyu.edu 的电子邮件经过验证

Business Analytics Statistics Operations Management


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Temporal collaborative filtering with bayesian probabilistic tensor factorization L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell	875	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	445*	2012
Spectral methods meet EM: A provably optimal algorithm for crowdsourcing Y Zhang, X Chen, D Zhou, MI Jordan Journal of Machine Learning Research 17 (102), 1-44, 2016	422	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	416	2013
Wasserstein distributionally robust optimization and variation regularization R Gao, X Chen, AJ Kleywegt Operations Research 72 (3), 1177-1191, 2024	235*	2024
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	227	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	210*	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	184*	2012
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	167	2022
Variance reduction for stochastic gradient optimization C Wang, X Chen, AJ Smola, EP Xing Advances in neural information processing systems 26, 2013	160	2013
Statistical inference for model parameters in stochastic gradient descent X Chen, JD Lee, XT Tong, Y Zhang	159	2020
Quantile regression under memory constraint X Chen, W Liu, Y Zhang	154	2019
Direct robust matrix factorizatoin for anomaly detection L Xiong, X Chen, J Schneider 2011 IEEE 11th International Conference on Data Mining, 844-853, 2011	129	2011
Optimal PAC multiple arm identification with applications to crowdsourcing Y Zhou, X Chen, J Li International Conference on Machine Learning, 217-225, 2014	119	2014
Predicting future earnings changes using machine learning and detailed financial data X Chen, YH Cho, Y Dou, B Lev Journal of Accounting Research 60 (2), 467-515, 2022	98*	2022
Distributed high-dimensional regression under a quantile loss function X Chen, W Liu, X Mao, Z Yang Journal of Machine Learning Research 21 (182), 1-43, 2020	83	2020
Privacy-preserving dynamic personalized pricing with demand learning X Chen, D Simchi-Levi, Y Wang Management Science 68 (7), 4878-4898, 2022	77	2022
Optimal regularized dual averaging methods for stochastic optimization X Chen, Q Lin, J Pena Advances in Neural Information Processing Systems, 395-403, 2012	76*	2012
Distributed inference for linear support vector machine X Wang, Z Yang, X Chen, W Liu Journal of machine learning research 20 (113), 1-41, 2019	72	2019
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	66*	2020

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