Calibrated Inference for the Conditional Average Treatment Effect in the Few-Placebo Regime via Gaussian Processes

Documenti analoghi

• Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes
  di: Uehara, Eichi
  Pubblicazione: (2026)
• Stop Suppressing the Tail: Causal Inference for Extreme Events
  di: Uehara, Eichi
  Pubblicazione: (2026)
• The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility
  di: Uehara, Eichi
  Pubblicazione: (2025)
• SHIFT: Robust Double Machine Learning for Average Dose-Response Functions under Heavy-Tailed Contamination
  di: Uehara, Eichi
  Pubblicazione: (2026)
• Robust X-Learner: Breaking the Curse of Imbalance and Heavy Tails via Robust Cross-Imputation
  di: Uehara, Eichi
  Pubblicazione: (2026)