Xiangyu Wang

13 papers A* 1Journal 7Unranked 5
YearRankTypeTitle / Venue / Authors
2018 J jnl
A Direct Approach for Sparse Quadratic Discriminant Analysis.
J. Mach. Learn. Res.
Binyan Jiang, Xiangyu Wang, Chenlei Leng
2016 J jnl
Boosting Variational Inference.
CoRR
Fangjian Guo, Xiangyu Wang, Kai Fan, Tamara Broderick, David B. Dunson
2016 — conf
DECOrrelated feature space partitioning for distributed sparse regression.
NIPS
Xiangyu Wang, David B. Dunson, Chenlei Leng
2016 J jnl
DECOrrelated feature space partitioning for distributed sparse regression.
CoRR
Xiangyu Wang, David B. Dunson, Chenlei Leng
2016 A* conf
No penalty no tears: Least squares in high-dimensional linear models.
ICML
Xiangyu Wang, David B. Dunson, Chenlei Leng
2016 — conf
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling.
NIPS
Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin
2015 J jnl
No penalty no tears: Least squares in high-dimensional linear models.
CoRR
Xiangyu Wang, David B. Dunson, Chenlei Leng
2015 — conf
On the consistency theory of high dimensional variable screening.
NIPS
Xiangyu Wang, Chenlei Leng, David B. Dunson
2015 J jnl
On the consistency theory of high dimensional variable screening.
CoRR
Xiangyu Wang, Chenlei Leng, David B. Dunson
2015 — conf
Parallelizing MCMC with Random Partition Trees.
NIPS
Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson
2014 — conf
Median Selection Subset Aggregation for Parallel Inference.
NIPS
Xiangyu Wang, Peichao Peng, David B. Dunson
2014 J jnl
Median Selection Subset Aggregation for Parallel Inference.
CoRR
Xiangyu Wang, Peichao Peng, David B. Dunson
2013 J jnl
Parallel MCMC via Weierstrass Sampler.
CoRR
Xiangyu Wang, David B. Dunson