Doubly Robust Functional Representation Learning for Longitudinal Causal Inference with Irregular Histories

arXiv:2607.28567 · stat.ML, cs.LG, stat.AP, stat.CO, stat.ME · Submitted 2026-07-30 · Read on arXiv

Mengfei Ran, Yifeng Shen, Ruijie Guan

stat.ML, cs.LG, stat.AP, stat.CO, stat.ME

Submitted: 2026-07-30

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

Terminology

• Calibration — 37× in this paper · explained in 9 episodes
• Point Clouds — 18× in this paper · explained in 2 episodes
• Transformer — 13× in this paper · explained in 2 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Causal Inference — 12× in this paper · explained in 5 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Representation Learning — 8× in this paper · explained in 3 episodes
• Exchangeability — 7× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Regularization — 5× in this paper · explained in 3 episodes
• Robustness — 5× in this paper · explained in 6 episodes
• Longitudinal Data — 3× in this paper · explained in 2 episodes
• AUC — 2× in this paper · explained in 2 episodes
• Asymptotic Normality — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Empirical Coverage — 2× in this paper · explained in 2 episodes
• Influence Functions — 2× in this paper · explained in 3 episodes
• Ablation Study — 1× in this paper · explained in 3 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Parameterization — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Transformers — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

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