Eli Ben-Michael

According to our database, Eli Ben-Michael authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson

CoRR, July, 2025

2024

Isolated Causal Effects of Natural Language.

Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael

CoRR, 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

Optimizing Language Models for Human Preferences is a Causal Inference Problem.

Victoria Lin, Eli Ben-Michael, Louis-Philippe Morency

Proceedings of the Uncertainty in Artificial Intelligence, 2024

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

Text-Transport: Toward Learning Causal Effects of Natural Language.

Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Policy learning with asymmetric utilities.

Eli Ben-Michael, Kosuke Imai, Zhichao Jiang

CoRR, 2022

2021

Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment.

Eli Ben-Michael, D. James Greiner, Kosuke Imai, Zhichao Jiang

CoRR, 2021