100 citations · 275 across the 10 of their papers we have counts for
3 papers · 1 filter
Boosting Variational Inference
Fangjian Guo, Xiangyu Wang, Kai Fan +2
Variational inference (VI) provides fast approximations of a Bayesian posterior in part because it formulates posterior approximation as an optimization problem: to find the closes…
DECOrrelated feature space partitioning for distributed sparse regression
Xiangyu Wang, David Dunson, Chenlei Leng
Fitting statistical models is computationally challenging when the sample size or the dimension of the dataset is huge. An attractive approach for down-scaling the problem size is…
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Yizhe Zhang, Xiangyu Wang, Changyou Chen +3
We unify slice sampling and Hamiltonian Monte Carlo (HMC) sampling, demonstrating their connection via the Hamiltonian-Jacobi equation from Hamiltonian mechanics. This insight enab…