Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment. - Eli Ben-Michael; D. James Greiner; Kosuke Imai; Zhichao Jiang (CoRR, 2021)

Policy learning with asymmetric utilities. - Eli Ben-Michael; Kosuke Imai; Zhichao Jiang (CoRR, 2022)

Text-Transport: Toward Learning Causal Effects of Natural Language. - Victoria Lin 001; Louis-Philippe Morency; Eli Ben-Michael (EMNLP, 2023)

Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War. - Zeyang Jia; Eli Ben-Michael; Kosuke Imai (CoRR, 2023)

Optimizing Language Models for Human Preferences is a Causal Inference Problem. - Victoria Lin 001; Eli Ben-Michael; Louis-Philippe Morency (UAI, 2024)

Does AI help humans make better decisions? A methodological framework for experimental evaluation. - Eli Ben-Michael; D. James Greiner; Melody Huang; Kosuke Imai; Zhichao Jiang; Sooahn Shin (CoRR, 2024)

Isolated Causal Effects of Natural Language. - Victoria Lin 001; Louis-Philippe Morency; Eli Ben-Michael (CoRR, 2024)

Bridging Prediction and Intervention Problems in Social Systems. - Lydia T. Liu; Inioluwa Deborah Raji; Angela Zhou; Luke Guerdan; Jessica Hullman; Daniel Malinsky; Bryan Wilder; Simone Zhang; Hammaad Adam; Amanda Coston; Benjamin Laufer; Ezinne Nwankwo; et al. (CoRR, 2025)