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stat.ME2025
Deconfounding via Profiled Transfer Learning
Ziyuan Chen, Yifan Jiang, Jingyuan Liu +1
Unmeasured confounders are a major source of bias in regression-based effect estimation and causal inference. In this paper, we propose a new profiled transfer learning framework,…
stat.ME2025
Deep Semiparametric Partial Differential Equation Models
Ziyuan Chen, Shunxing Yan, Fang Yao
In many scientific fields, the generation and evolution of data are governed by partial differential equations (PDEs) which are typically informed by established physical laws at t…
stat.ME2023★ 1 cited
Dynamic Matrix Recovery
Ziyuan Chen, Ying Yang, Fang Yao
Matrix recovery from sparse observations is an extensively studied topic emerging in various applications, such as recommendation system and signal processing, which includes the m…