José Blanchet

LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

2025 · arXiv (Cornell University)

We introduce LLM-Lasso, a novel framework that leverages large language models (LLMs) to guide feature selection in Lasso $\ell_1$ regression. Unlike traditional methods that rely solely on numerical data, LLM-Lasso incorporates domain-specific knowledge extracted from …

Causal Partial Identification via Conditional Optimal Transport

2025 · ArXiv.org

We study the estimation of causal estimand involving the joint distribution of treatment and control outcomes for a single unit. In typical causal inference settings, it is impossible to observe both outcomes simultaneously, which places …