Ashesh Rambachan

13 papers A* 4Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models.
ICML
Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan
2025 J jnl
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models.
CoRR
Keyon Vafa, Peter G. Chang, Ashesh Rambachan, Sendhil Mullainathan
2024 A* conf
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.
ICML
Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan
2024 J jnl
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.
CoRR
Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan
2024 A* conf
Evaluating the World Model Implicit in a Generative Model.
NeurIPS
Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon M. Kleinberg, Sendhil Mullainathan
2024 J jnl
Evaluating the World Model Implicit in a Generative Model.
CoRR
Keyon Vafa, Justin Y. Chen, Jon M. Kleinberg, Sendhil Mullainathan, Ashesh Rambachan
2024 J jnl
Large Language Models: An Applied Econometric Framework.
CoRR
Jens Ludwig, Sendhil Mullainathan, Ashesh Rambachan
2024 J jnl
Program Evaluation with Remotely Sensed Outcomes.
CoRR
Ashesh Rambachan, Rahul Singh, Davide Viviano
2022 J jnl
Counterfactual Risk Assessments under Unmeasured Confounding.
CoRR
Ashesh Rambachan, Amanda Coston, Edward H. Kennedy
2021 A* conf
Characterizing Fairness Over the Set of Good Models Under Selective Labels.
ICML
Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova
2021 J jnl
Characterizing Fairness Over the Set of Good Models Under Selective Labels.
CoRR
Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova
2020 — conf
Bias In, Bias Out? Evaluating the Folk Wisdom.
FORC
Ashesh Rambachan, Jonathan Roth
2019 J jnl
Bias In, Bias Out? Evaluating the Folk Wisdom.
CoRR
Ashesh Rambachan, Jonathan Roth