Ashesh Rambachan

According to our database, Ashesh Rambachan authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

2025

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

Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan

CoRR, July, 2025

2024

Large Language Models: An Applied Econometric Framework.

Jens Ludwig, Sendhil Mullainathan, Ashesh Rambachan

CoRR, 2024

Program Evaluation with Remotely Sensed Outcomes.

Ashesh Rambachan, Rahul Singh, Davide Viviano

CoRR, 2024

Evaluating the World Model Implicit in a Generative Model.

Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon M. Kleinberg, Sendhil Mullainathan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.

Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

Counterfactual Risk Assessments under Unmeasured Confounding.

Ashesh Rambachan, Amanda Coston, Edward H. Kennedy

CoRR, 2022

2021

Characterizing Fairness Over the Set of Good Models Under Selective Labels.

Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Bias In, Bias Out? Evaluating the Folk Wisdom.

Ashesh Rambachan, Jonathan Roth

Proceedings of the 1st Symposium on Foundations of Responsible Computing, 2020