Xiangyu Wang
Title
Cited by
Cited by
Year
Parallelizing MCMC via Weierstrass sampler
X Wang, DB Dunson
Joint Statistical Meetings 2014, 2014
157*2014
High dimensional ordinary least squares projection for screening variables
X Wang, C Leng
Journal of the Royal Statistical Society: Series B: Statistical Methodology …, 2016
812016
Parallelizing MCMC with random partition trees
X Wang, F Guo, KA Heller, DB Dunson
arXiv preprint arXiv:1506.03164, 2015
592015
Boosting variational inference
F Guo, X Wang, K Fan, T Broderick, DB Dunson
Advances in Approximate Bayesian Inference, NIPS 2016 Workshop, 2016
462016
Median selection subset aggregation for parallel inference
X Wang, P Peng, D Dunson
arXiv preprint arXiv:1410.6604, 2014
272014
A direct approach for sparse quadratic discriminant analysis
B Jiang, X Wang, C Leng
The Journal of Machine Learning Research 19 (1), 1098-1134, 2018
25*2018
Towards unifying Hamiltonian Monte Carlo and slice sampling
Y Zhang, X Wang, C Chen, R Henao, K Fan, L Carin
arXiv preprint arXiv:1602.07800, 2016
192016
DECOrrelated feature space partitioning for distributed sparse regression
X Wang, D Dunson, C Leng
arXiv preprint arXiv:1602.02575, 2016
192016
No penalty no tears: Least squares in high-dimensional linear models
X Wang, D Dunson, C Leng
International Conference on Machine Learning, 1814-1822, 2016
112016
Boosting variational inference: theory and examples
X Wang
Master’s thesis, Duke University, 2016
82016
On the consistency theory of high dimensional variable screening
X Wang, C Leng, DB Dunson
arXiv preprint arXiv:1502.06895, 2015
72015
Distributed Feature Selection in Large n and Large p Regression Problems
X Wang
Duke University, 2016
2016
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Articles 1–12