3 citations · 4 across the 2 of their papers we have counts for
3 papers
math.ST2024
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
Rong Tang, Lizhen Lin, Yun Yang
We consider a class of conditional forward-backward diffusion models for conditional generative modeling, that is, generating new data given a covariate (or control variable). To f…
math.ST2022★ 3 cited
Minimax Rate of Distribution Estimation on Unknown Submanifold under Adversarial Losses
Rong Tang, Yun Yang
Statistical inference from high-dimensional data with low-dimensional structures has recently attracted lots of attention. In machine learning, deep generative modeling approaches…
stat.ME2021★ 1 cited
Statistical Inference for Bayesian Risk Minimization via Exponentially Tilted Empirical Likelihood
Rong Tang, Yun Yang
The celebrated Bernstein von-Mises theorem ensures that credible regions from Bayesian posterior are well-calibrated when the model is correctly-specified, in the frequentist sense…