arXiv AI
Barycentric Fused Gromov-Wasserstein Balancing for Causal Inference under Multiple Treatments
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Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment
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arXiv Machine Learning
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MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback
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Representation Learning for Semiparametric Causal Mediation Analysis under No Essential Heterogeneity
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TLRNet: Estimating Individual Treatment Effect based on Local Information and Single Learner Structure
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arXiv AI
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Towards Universal Wasserstein Barycenters through Flow Matching
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arXiv Machine Learning
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Uncertainty-Guided LLM Semantic Augmentation for Heterogeneous Treatment Effect Estimation
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