Xi Chen
Title
Cited by
Cited by
Year
Temporal collaborative filtering with bayesian probabilistic tensor factorization
L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell
6712010
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
3162016
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
3112013
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
291*2012
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
2002009
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
172*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
149*2012
Variance reduction for stochastic gradient optimization
C Wang, X Chen, A Smola, E P Xing
Carnegie Mellon University, 2013
1192013
Direct robust matrix factorizatoin for anomaly detection
L Xiong, X Chen, J Schneider
2011 IEEE 11th International Conference on Data Mining, 844-853, 2011
1042011
Wasserstein distributional robustness and regularization in statistical learning
R Gao, X Chen, AJ Kleywegt
arXiv e-prints, arXiv: 1712.06050, 2017
97*2017
Optimal PAC multiple arm identification with applications to crowdsourcing
Y Zhou, X Chen, J Li
International Conference on Machine Learning, 217-225, 2014
902014
A statistical learning approach to personalization in revenue management
X Chen, Z Owen, C Pixton, D Simchi-Levi
Management Science, 2021
642021
Optimal regularized dual averaging methods for stochastic optimization
X Chen, Q Lin, J Pena
Advances in Neural Information Processing Systems, 395-403, 2012
57*2012
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
53*2020
Sparse latent semantic analysis
X Chen, Y Qi, B Bai, Q Lin, JG Carbonell
SIAM 2011 International Conference on Data Mining, 2011
532011
Graph-based feature selection for object-oriented classification in VHR airborne imagery
X Chen, T Fang, H Huo, D Li
IEEE Transactions on Geoscience and Remote Sensing 49 (1), 353-365, 2010
482010
Group sparse additive models
J Yin, X Chen, EP Xing
Proceedings of the... International Conference on Machine Learning …, 2012
392012
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
382011
Quantile regression under memory constraint
X Chen, W Liu, Y Zhang
The Annals of Statistics 47 (6), 3244-3273, 2019
342019
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
34*2018
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Articles 1–20