3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models
Jinshu Huang, Yiming Jiang, Chunlin Wu
Despite the empirical success of score-based diffusion models, a complete theoretical understanding of how finite-sample learning, network parameterization, and numerical discretiz…
stat.AP2024
Causal Inference in Social Platforms Under Approximate Interference Networks
Yiming Jiang, Lu Deng, Yong Wang +1
Estimating the total treatment effect (TTE) of a new feature in social platforms is crucial for understanding its impact on user behavior. However, the presence of network interfer…
stat.ME2023★ 3 cited
Causal Inference under Network Interference Using a Mixture of Randomized Experiments
Yiming Jiang, He Wang
In randomized experiments, the classic Stable Unit Treatment Value Assumption (SUTVA) posits that the outcome for one experimental unit is unaffected by the treatment assignments o…