320 citations · 349 across the 10 of their papers we have counts for
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Non-convex sampling for a mixture of locally smooth potentials
Dao Nguyen
The purpose of this paper is to examine the sampling problem through Euler discretization, where the potential function is assumed to be a mixture of locally smooth distributions a…
Unadjusted Langevin algorithm for sampling a mixture of weakly smooth potentials
Dao Nguyen
Discretization of continuous-time diffusion processes is a widely recognized method for sampling. However, it seems to be a considerable restriction when the potentials are often r…
Unadjusted Langevin algorithm for non-convex weakly smooth potentials
Dao Nguyen, Xin Dang, Yixin Chen
Discretization of continuous-time diffusion processes is a widely recognized method for sampling. However, the canonical Euler Maruyama discretization of the Langevin diffusion pro…
Black-box sampling for weakly smooth Langevin Monte Carlo using p-generalized Gaussian smoothing
Anh Duc Doan, Xin Dang, Dao Nguyen
Discretization of continuous-time diffusion processes is a widely recognized method for sampling. However, the canonical Euler-Maruyama discretization of the Langevin diffusion pro…
Simulation-based inference methods for partially observed Markov model via the R package is2
Duc Anh Doan, Dao Nguyen, Xin Dang
Partially observed Markov process (POMP) models are powerful tools for time series modeling and analysis. Inherited the flexible framework of R package pomp, the is2 package extend…