Safe and Interpretable Estimation of Optimal Treatment Regimes

H Parikh, QM Lanners, Z Akras… - International …, 2024 - proceedings.mlr.press
Recent advancements in statistical and reinforcement learning methods have contributed to
superior patient care strategies. However, these methods face substantial challenges in high …

Estimating Trustworthy and Safe Optimal Treatment Regimes

H Parikh, Q Lanners, Z Akras, SF Zafar… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent statistical and reinforcement learning methods have significantly advanced patient
care strategies. However, these approaches face substantial challenges in high-stakes …

[PDF][PDF] Permutation Variable Selection for High‑Dimensional Regression and Balancing Estimators of Causal Effects

A Lal - apoorvalal.github.io
Researchers are often interested in estimating average treatment effects in observational
settings based on treatment uncon‑foundedness, which is often only plausible conditional …

[引用][C] Syllabus for POLI 784: Linear Methods in Causal Inference

Y Wang - 2024

[引用][C] Syllabus for Causal Inference

Y Wang