Ashesh Rambachan

According to our database, Ashesh Rambachan authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Evaluating the World Model Implicit in a Generative Model.

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

CoRR, 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