Xi Chen

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	すべて	2019 年以来
引用	6210	4024
h 指標	38	34
i10 指標	71	67

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49 件の論文

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共著者

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

フォロー

Xi Chen

Professor at New York University

確認したメールアドレス: nyu.edu

Business Analytics Statistics Operations Management


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Temporal collaborative filtering with bayesian probabilistic tensor factorization L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell	882	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	446*	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	423	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	417	2013
Wasserstein distributionally robust optimization and variation regularization R Gao, X Chen, AJ Kleywegt Operations Research 72 (3), 1177-1191, 2024	237*	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	169	2022
Variance reduction for stochastic gradient optimization C Wang, X Chen, AJ Smola, EP Xing Advances in neural information processing systems 26, 2013	162	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	156	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	131	2011
Optimal PAC multiple arm identification with applications to crowdsourcing Y Zhou, X Chen, J Li International Conference on Machine Learning, 217-225, 2014	120	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	102*	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	85	2020
Privacy-preserving dynamic personalized pricing with demand learning X Chen, D Simchi-Levi, Y Wang Management Science 68 (7), 4878-4898, 2022	78	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	75	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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