The paper introduces a deep IPW estimator for spatial-temporal counterfactual outcomes and claims it is consistent, asymptotically normal, and more accurate than baselines.
Unveiling causal reasoning in large language models: Reality or mirage? Advances in Neural Information Processing Systems, 37: 0 96640--96670, 2024
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Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
The paper introduces a deep IPW estimator for spatial-temporal counterfactual outcomes and claims it is consistent, asymptotically normal, and more accurate than baselines.