Emputation: Identification-Guided Neural Imputation Framework

arXiv:2607.05279 · stat.ME, stat.ML · Submitted 2026-07-06 · Read on arXiv

Yanjiao Yang, Yikun Zhang, Xinwei Shen, Yen-Chi Chen

stat.ME, stat.ML

Submitted: 2026-07-06

Code: https://github.com/yjyang00/emputation

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 7× in this paper · explained in 1 episode
Generative Model — 6× in this paper · explained in 2 episodes
Generative Models — 6× in this paper · explained in 3 episodes
Training Objective — 6× in this paper · explained in 3 episodes
Benchmark — 5× in this paper · explained in 2 episodes
Generative Modeling — 3× in this paper · explained in 3 episodes
Diffusion Model — 2× in this paper · explained in 10 episodes
Objective Function — 2× in this paper · explained in 2 episodes
Theoretical Guarantees — 2× in this paper · explained in 2 episodes
Training Objectives — 2× in this paper · explained in 2 episodes
Bayesian Inference — 1× in this paper · explained in 6 episodes
Causal Inference — 1× in this paper · explained in 5 episodes
Clarity — 1× in this paper · explained in 3 episodes
Diffusion Models — 1× in this paper · explained in 9 episodes
Distributional Alignment — 1× in this paper · explained in 2 episodes
Longitudinal Data — 1× in this paper · explained in 2 episodes
Parameterization — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 6 episodes
Variational Autoencoder (VAE) — 1× in this paper · explained in 6 episodes

Sources

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