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
Yuchen ZhangPrincipal Researcher at MicrosoftVerified email at microsoft.com
Jeff SchneiderCarnegie Mellon UniversityVerified email at cs.cmu.edu
Han LiuAssociate Professor, Department of Computer Science, Northwestern UniversityVerified email at princeton.edu
Xin T. TongNational University of SingaporeVerified email at nus.edu.sg
Yichen ZhangPurdue UniversityVerified email at purdue.edu
Javier PeñaCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Seyoung KimAssistant Professor of Computational Biology, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Tzu-Kuo HuangResearch Scientist, Google BrainVerified email at google.com
Tianyi LinUniversity of California, BerkeleyVerified email at berkeley.edu
David Simchi-LeviProfessor of Engineering Systems at MITVerified email at mit.edu
Jason D. LeeAssistant Professor of Electrical Engineering, Princeton UniversityVerified email at princeton.edu
Jieming MaoGoogle Research NYCVerified email at google.com
Eric HorvitzMicrosoft ResearchVerified email at microsoft.com
Paul N. BennettPartner Research Manager, Microsoft ResearchVerified email at microsoft.com

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	739	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	397*	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	336	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	333	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	208	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	184*	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	159*	2012
Variance reduction for stochastic gradient optimization C Wang, X Chen, AJ Smola, EP Xing Advances in Neural Information Processing Systems 26, 2013	125	2013
Distributional robustness and regularization in statistical learning R Gao, X Chen, AJ Kleywegt arXiv preprint arXiv:1712.06050, 2017	117	2017
Direct robust matrix factorizatoin for anomaly detection L Xiong, X Chen, J Schneider 2011 IEEE 11th International Conference on Data Mining, 844-853, 2011	116	2011
Optimal PAC multiple arm identification with applications to crowdsourcing Y Zhou, X Chen, J Li International Conference on Machine Learning, 217-225, 2014	92	2014
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	90	2022
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	72*	2020
Quantile regression under memory constraint X Chen, W Liu, Y Zhang The Annals of Statistics 47 (6), 3244-3273, 2019	56	2019
Optimal regularized dual averaging methods for stochastic optimization X Chen, Q Lin, J Pena Advances in Neural Information Processing Systems, 395-403, 2012	56*	2012
Sparse latent semantic analysis X Chen, Y Qi, B Bai, Q Lin, JG Carbonell SIAM 2011 International Conference on Data Mining, 2011	54	2011
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	41*	2018
Group sparse additive models J Yin, X Chen, EP Xing Proceedings of the... International Conference on Machine Learning …, 2012	41	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	40*	2020
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	40	2011

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