Xi Chen
TitleCited byYear
Temporal collaborative filtering with bayesian probabilistic tensor factorization
L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell
5492010
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
341*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
2452013
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
2232016
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
1792009
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
138*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
115*2012
Variance reduction for stochastic gradient optimization
C Wang, X Chen, AJ Smola, EP Xing
Advances in Neural Information Processing Systems, 181-189, 2013
852013
Direct robust matrix factorizatoin for anomaly detection
L Xiong, X Chen, J Schneider
2011 IEEE 11th International Conference on Data Mining, 844-853, 2011
822011
Optimal PAC multiple arm identification with applications to crowdsourcing
Y Zhou, X Chen, J Li
International Conference on Machine Learning, 217-225, 2014
702014
Optimal regularized dual averaging methods for stochastic optimization
X Chen, Q Lin, J Pena
Advances in Neural Information Processing Systems, 395-403, 2012
54*2012
Sparse latent semantic analysis
X Chen, Y Qi, B Bai, Q Lin, JG Carbonell
SIAM 2011 International Conference on Data Mining, 2011
492011
Wasserstein distributional robustness and regularization in statistical learning
R Gao, X Chen, AJ Kleywegt
arXiv preprint arXiv:1712.06050, 2017
442017
A statistical learning approach to personalization in revenue management
X Chen, Z Owen, C Pixton, D Simchi-Levi
Available at SSRN 2579462, 2015
412015
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), 294, 2011
342011
Optimal sparse designs for process flexibility via probabilistic expanders
X Chen, J Zhang, Y Zhou
Operations Research 63 (5), 1159-1176, 2015
292015
Group sparse additive models
J Yin, X Chen, EP Xing
Proceedings of the... International Conference on Machine Learning …, 2012
282012
Learning spatial-temporal varying graphs with applications to climate data analysis
X Chen, Y Liu, H Liu, JG Carbonell
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
262010
Graph-valued regression
H Liu, X Chen, L Wasserman, JD Lafferty
Advances in Neural Information Processing Systems, 1423-1431, 2010
242010
Statistical inference for model parameters in stochastic gradient descent
X Chen, JD Lee, XT Tong, Y Zhang
arXiv preprint arXiv:1610.08637, 2016
232016
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Articles 1–20