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ORCIDAshesh Rambachan
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2020 – today
- 2024
[c3]Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan:
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function. ICML 2024- [i7]Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan:
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function. CoRR abs/2406.01382 (2024) - [i6]Keyon Vafa, Justin Y. Chen, Jon M. Kleinberg, Sendhil Mullainathan, Ashesh Rambachan:
Evaluating the World Model Implicit in a Generative Model. CoRR abs/2406.03689 (2024) - [i5]Ashesh Rambachan, Rahul Singh, Davide Viviano:
Program Evaluation with Remotely Sensed Outcomes. CoRR abs/2411.10959 (2024) - [i4]Jens Ludwig, Sendhil Mullainathan, Ashesh Rambachan:
Large Language Models: An Applied Econometric Framework. CoRR abs/2412.07031 (2024) - 2022
- [i3]Ashesh Rambachan, Amanda Coston, Edward H. Kennedy:
Counterfactual Risk Assessments under Unmeasured Confounding. CoRR abs/2212.09844 (2022) - 2021
- [c2]Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova:
Characterizing Fairness Over the Set of Good Models Under Selective Labels. ICML 2021: 2144-2155 - [i2]Amanda Coston, Ashesh Rambachan, Alexandra Chouldechova:
Characterizing Fairness Over the Set of Good Models Under Selective Labels. CoRR abs/2101.00352 (2021) - 2020
- [c1]Ashesh Rambachan, Jonathan Roth:
Bias In, Bias Out? Evaluating the Folk Wisdom. FORC 2020: 6:1-6:15
2010 – 2019
- 2019
- [i1]Ashesh Rambachan, Jonathan Roth:
Bias In, Bias Out? Evaluating the Folk Wisdom. CoRR abs/1909.08518 (2019)
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