280 results on '"Sendhil Mullainathan"'
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2. Taxation and Revenue
3. Back Cover
4. Externalities and Public Goods
5. Asymmetric Information
6. Notes
7. Appendix A: Preference, Choice, and Welfare
8. Appendix B: Choice, Welfare, and Policy
9. Index
10. Part II: Behavioral Economics and Public Finance in Practice
11. Poverty and Inequality
12. Psychology and Economics
13. Acknowledgments
14. Front Cover
15. Copyright Information
16. Table of Contents
17. Behavioral Economics and Public Finance
18. Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.
19. Evaluating the World Model Implicit in a Generative Model.
20. Language Generation in the Limit.
21. Use large language models to promote equity.
22. Characterizing the Value of Information in Medical Notes.
23. Direct Uncertainty Prediction for Medical Second Opinions.
24. Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography.
25. Quantifying the Causal Effects of Conversational Tendencies.
26. Algorithms as discrimination detectors.
27. The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization.
28. Comparison-based Choices.
29. The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables.
30. Inherent Trade-Offs in the Fair Determination of Risk Scores.
31. The Data Station: Combining Data, Compute, and Market Forces.
32. Simplicity creates inequity: implications for fairness, stereotypes, and interpretability (invited paper).
33. Assessing Human Error Against a Benchmark of Perfection.
34. Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability.
35. Assessing Human Error Against a Benchmark of Perfection.
36. Measuring the Completeness of Theories.
37. The Algorithmic Automation Problem: Prediction, Triage, and Human Effort.
38. Discrimination in the Age of Algorithms.
39. A Bayesian Framework for Modeling Human Evaluations.
40. Cohort bias in predictive risk assessments of future criminal justice system involvement
41. Getting to the Top of Mind: How Reminders Increase Saving.
42. Measuring the Completeness of Economic Models
43. Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People.
44. Direct Uncertainty Prediction with Applications to Healthcare.
45. Measuring the Stability of EHR- and EKG-based Predictive Models.
46. Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability.
47. A Probabilistic Model of Cardiac Physiology and Electrocardiograms.
48. Machine Learning as a Tool for Hypothesis Generation
49. Automating Automaticity: How the Context of Human Choice Affects the Extent of Algorithmic Bias
50. From Predictive Algorithms to Automatic Generation of Anomalies
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