Research map / Probabilistic and scientific modeling / Treatment effects
Causal Transformer for Estimating Counterfactual Outcomes
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the three-subnetwork Causal Transformer | Counterfactual outcome estimation · MIMIC-III semi-synthetic, random trajectories, τ=1–10 | RMSE: 0.30 -> 0.20; 0.48 -> 0.38; 0.59 -> 0.45; 0.65 -> 0.49; 0.68 -> 0.52; 0.71 -> 0.53; 0.72 -> 0.55; 0.74 -> 0.56; 0.76 -> | Helped |
| Use the Causal Transformer | Counterfactual outcome estimation · MIMIC-III real-world, τ=1–5 | RMSE: 4.84 -> 4.59; 9.15 -> 8.99; 9.81 -> 9.59; 10.15 -> 9.91; 10.40 -> 10.14 | Helped |
| Add CDC balancing to CT (ablation) | Causal Transformer · MIMIC-III semi-synthetic, random trajectories, τ=1–10 | RMSE: 0.20 vs 0.20; 0.38 vs 0.38; 0.45 vs 0.45; 0.49 vs 0.50; 0.52 vs 0.52; 0.53 vs 0.55; 0.55 vs 0.56; 0.56 vs 0.58; 0.58 vs | Helped |
| Replace trainable relative PE with non-trainable relative PE (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: ±0.00; −0.02; +0.01; −0.03 | Mixed |
| Replace relative PE with trainable absolute PE (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: +0.04; +0.16; +0.15; +1.00 | Hurt |
| Remove attentional dropout (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: ±0.00; +0.07; +0.00; +0.09 | Hurt |
| Remove cross-attention (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: +0.03; +0.16; +0.06; +0.10 | Hurt |
| Remove EMA (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: +0.03; +0.38; +0.03; +0.33 | Hurt |
| Remove CDC balancing (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: −0.01; −0.02; ±0.00; +0.07 | Mixed |
| Replace CDC loss with gradient reversal (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: +0.02; +0.17; +0.08; +0.33 | Hurt |
| Use a single-subnetwork encoder-decoder with gradient reversal (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: +0.16; +0.08; +0.05; +0.23 | Hurt |
| Use a single-subnetwork encoder-decoder with domain confusion (ablation) | CT · Tumor growth simulator, γ=1/4 and τ=1/6 | normalized RMSE: −0.03; +0.10; −0.03; +0.23 | Mixed |
Closest papers by meaning
- Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models (ICLR 2024 · similarity 0.90)
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