Yu Bowen

Spiked-CFR: Causal Representation Learning from LLMs via Wasserstein Projection Pursuit

Estimating treatment effects from observational text is increasingly practical with Large Language Models (LLMs). However, applying causal representation learning directly to high-dimensional LLM embeddings faces a fundamental barrier: empirical Wasserstein matching suffers from the curse of dimensi…