Xi Chen
Cited by
Cited by
Temporal collaborative filtering with bayesian probabilistic tensor factorization
L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell
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
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
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
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
Wasserstein distributionally robust optimization and variation regularization
R Gao, X Chen, AJ Kleywegt
Operations Research 72 (3), 1177-1191, 2024
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
An efficient optimization algorithm for structured sparse cca, with applications to eqtl mapping
X Chen, H Liu
Statistics in Biosciences 4, 3-26, 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
Variance reduction for stochastic gradient optimization
C Wang, X Chen, AJ Smola, EP Xing
Advances in neural information processing systems 26, 2013
Statistical inference for model parameters in stochastic gradient descent
X Chen, JD Lee, XT Tong, Y Zhang
Quantile regression under memory constraint
X Chen, W Liu, Y Zhang
Direct robust matrix factorizatoin for anomaly detection
L Xiong, X Chen, J Schneider
2011 IEEE 11th International Conference on Data Mining, 844-853, 2011
Optimal PAC multiple arm identification with applications to crowdsourcing
Y Zhou, X Chen, J Li
International Conference on Machine Learning, 217-225, 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
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
Privacy-preserving dynamic personalized pricing with demand learning
X Chen, D Simchi-Levi, Y Wang
Management Science 68 (7), 4878-4898, 2022
Optimal regularized dual averaging methods for stochastic optimization
X Chen, Q Lin, J Pena
Advances in Neural Information Processing Systems, 395-403, 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
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
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