9 citations · 24 across the 13 of their papers we have counts for
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cs.LG2022
A Proximal Algorithm for Sampling from Non-convex Potentials
Jiaming Liang, Yongxin Chen
We study sampling problems associated with non-convex potentials that meanwhile lack smoothness. In particular, we consider target distributions that satisfy either logarithmic-Sob…
cs.LG2022★ 1 cited
A Proximal Algorithm for Sampling
Jiaming Liang, Yongxin Chen
We study sampling problems associated with potentials that lack smoothness. The potentials can be either convex or non-convex. Departing from the standard smooth setting, the poten…
cs.LG2021★ 1 cited
A Proximal Algorithm for Sampling from Non-smooth Potentials
Jiaming Liang, Yongxin Chen
In this work, we examine sampling problems with non-smooth potentials. We propose a novel Markov chain Monte Carlo algorithm for sampling from non-smooth potentials. We provide a n…