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20232026
most citedZero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer

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cs.LG2024

Counterfactual Generative Modeling with Variational Causal Inference

Yulun Wu, Louie McConnell, Claudia Iriondo

Estimating an individual's counterfactual outcomes under interventions is a challenging task for traditional causal inference and supervised learning approaches when the outcome is…

stat.ML2024

Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer

Toru Shirakawa, Yi Li, Yulun Wu +5

We propose Deep Longitudinal Targeted Minimum Loss-based Estimation (Deep LTMLE), a novel approach to estimate the counterfactual mean of outcome under dynamic treatment policies i…