Rambachan, Ashesh

A More Credible Approach to Parallel Trends

Rambachan, A., & Roth, J. (2023) · Review of Economic Studies

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 1,559

Algorithmic fairness

Kleinberg, J., Ludwig, J., Mullainathan, S., & Rambachan, A. (2018) · AEA Papers and Proceedings

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 278

Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective

Bojinov, I., Rambachan, A., & Shephard, N. (2021) · Quantitative Economics

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 60

Evaluating the World Model Implicit in a Generative Model

Vafa, K., Chen, J. Y., Rambachan, A., Kleinberg, J., & Mullainathan, S. (2024) · arXiv

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 22

Evaluating the World Model Implicit in a Generative Model

Vafa, K., Chen, J., Rambachan, A., Kleinberg, J., & Mullainathan, S. (2024) · Advances in Neural Information Processing Systems 37

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 22

What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models

Vafa, K., Chang, P. G., Rambachan, A., & Mullainathan, S. (2025) · arXiv

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 3