5 citations · 22 across the 10 of their papers we have counts for
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math.ST2021★ 1 cited
A Deep Generative Approach to Conditional Sampling
Xingyu Zhou, Yuling Jiao, Jin Liu +1
We propose a deep generative approach to sampling from a conditional distribution based on a unified formulation of conditional distribution and generalized nonparametric regressio…
stat.CO2021★ 5 cited
Schr{ö}dinger-F{ö}llmer Sampler: Sampling without Ergodicity
Jian Huang, Yuling Jiao, Lican Kang +3
Sampling from probability distributions is an important problem in statistics and machine learning, specially in Bayesian inference when integration with respect to posterior distr…