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01/31/2023
Non-convex sampling for a mixture of locally smooth potentials
The purpose of this paper is to examine the sampling problem through Eul...
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12/17/2021
Unadjusted Langevin algorithm for sampling a mixture of weakly smooth potentials
Discretization of continuous-time diffusion processes is a widely recogn...
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01/16/2021
Non-convex weakly smooth Langevin Monte Carlo using regularization
Discretization of continuous-time diffusion processes is a widely recogn...
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02/24/2020
Weakly smooth Langevin Monte Carlo using p-generalized Gaussian smoothing
Langevin Monte Carlo (LMC) is an iterative process for sampling from a d...
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06/05/2019
Estimating Feature-Label Dependence Using Gini Distance Statistics
Identifying statistical dependence between the features and the label is...
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11/07/2018
Simulation-based inference methods for partially observed Markov model via the R package is2
Partially observed Markov process (POMP) models are powerful tools for t...
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09/26/2018
A new Gini correlation between quantitative and qualitative variables
We propose a new Gini correlation to measure dependence between a catego...
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02/24/2018
Automatic adaptation of MCMC algorithms
Markov chain Monte Carlo (MCMC) methods are ubiquitous tools for simulat...
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02/23/2018