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2020 – today
- 2024
[c17]Keyon Vafa, Ashesh Rambachan, Sendhil Mullainathan:
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function. ICML 2024- [i19]Jon M. Kleinberg, Sendhil Mullainathan:
Language Generation in the Limit. CoRR abs/2404.06757 (2024) - [i18]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) - [i17]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) - 2023
- [i16]Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy
, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa:
Use large language models to promote equity. CoRR abs/2312.14804 (2023) - 2022
- [c16]Jon M. Kleinberg, Sendhil Mullainathan, Manish Raghavan:
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization. EC 2022: 29 - [i15]Jon M. Kleinberg, Sendhil Mullainathan, Manish Raghavan:
The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization. CoRR abs/2202.11776 (2022) - 2021
- [c15]Jon M. Kleinberg, Sendhil Mullainathan:
Simplicity creates inequity: implications for fairness, stereotypes, and interpretability (invited paper). STOC 2021: 7 - 2020
- [j4]Justine Zhang, Sendhil Mullainathan, Cristian Danescu-Niculescu-Mizil:
Quantifying the Causal Effects of Conversational Tendencies. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 131:1-131:24 (2020) - [j3]Jon M. Kleinberg, Jens Ludwig, Sendhil Mullainathan, Cass R. Sunstein:
Algorithms as discrimination detectors. Proc. Natl. Acad. Sci. USA 117(48): 30096-30100 (2020) - [c14]Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan:
Characterizing the Value of Information in Medical Notes. EMNLP (Findings) 2020: 2062-2072 - [i14]Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster:
The Data Station: Combining Data, Compute, and Market Forces. CoRR abs/2009.00035 (2020) - [i13]Justine Zhang, Sendhil Mullainathan, Cristian Danescu-Niculescu-Mizil:
Quantifying the Causal Effects of Conversational Tendencies. CoRR abs/2009.03897 (2020) - [i12]Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan:
Characterizing the Value of Information in Medical Notes. CoRR abs/2010.03574 (2020)
2010 – 2019
- 2019
- [c13]Jon M. Kleinberg, Sendhil Mullainathan:
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability. EC 2019: 807-808 - [c12]Ziad Obermeyer, Sendhil Mullainathan:
Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People. FAT 2019: 89 - [c11]Andrew C. Miller, Ziad Obermeyer, John P. Cunningham, Sendhil Mullainathan:
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography. ICML 2019: 4585-4594 - [c10]Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Robert D. Kleinberg, Sendhil Mullainathan, Jon M. Kleinberg:
Direct Uncertainty Prediction for Medical Second Opinions. ICML 2019: 5281-5290 - [i11]Jon M. Kleinberg, Jens Ludwig, Sendhil Mullainathan, Cass R. Sunstein:
Discrimination in the Age of Algorithms. CoRR abs/1902.03731 (2019) - [i10]Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan:
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. CoRR abs/1903.12220 (2019) - [i9]Drew Fudenberg, Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan:
Measuring the Completeness of Theories. CoRR abs/1910.07022 (2019) - 2018
- [c9]Sendhil Mullainathan:
Algorithmic Fairness and the Social Welfare Function. EC 2018: 1 - [i8]Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg:
Direct Uncertainty Prediction with Applications to Healthcare. CoRR abs/1807.01771 (2018) - [i7]Jon M. Kleinberg, Sendhil Mullainathan:
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability. CoRR abs/1809.04578 (2018) - [i6]Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, Sendhil Mullainathan:
A Probabilistic Model of Cardiac Physiology and Electrocardiograms. CoRR abs/1812.00209 (2018) - [i5]Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan:
Measuring the Stability of EHR- and EKG-based Predictive Models. CoRR abs/1812.00210 (2018) - 2017
- [j2]Ashton Anderson, Jon M. Kleinberg, Sendhil Mullainathan:
Assessing Human Error Against a Benchmark of Perfection. ACM Trans. Knowl. Discov. Data 11(4): 45:1-45:25 (2017) - [c8]Jon M. Kleinberg, Sendhil Mullainathan, Manish Raghavan:
Inherent Trade-Offs in the Fair Determination of Risk Scores. ITCS 2017: 43:1-43:23 - [c7]Himabindu Lakkaraju, Jon M. Kleinberg, Jure Leskovec, Jens Ludwig, Sendhil Mullainathan:
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables. KDD 2017: 275-284 - [c6]Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan:
The Theory is Predictive, but is it Complete?: An Application to Human Perception of Randomness. EC 2017: 125-126 - [c5]Jon M. Kleinberg, Sendhil Mullainathan, Johan Ugander:
Comparison-based Choices. EC 2017: 127-144 - [i4]Jon M. Kleinberg, Sendhil Mullainathan, Johan Ugander:
Comparison-Based Choices. CoRR abs/1705.05735 (2017) - [i3]Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan:
The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness. CoRR abs/1706.06974 (2017) - 2016
- [j1]Dean S. Karlan, Margaret McConnell, Sendhil Mullainathan, Jonathan Zinman:
Getting to the Top of Mind: How Reminders Increase Saving. Manag. Sci. 62(12): 3393-3411 (2016) - [c4]Ashton Anderson, Jon M. Kleinberg, Sendhil Mullainathan:
Assessing Human Error Against a Benchmark of Perfection. KDD 2016: 705-714 - [i2]Ashton Anderson, Jon M. Kleinberg, Sendhil Mullainathan:
Assessing Human Error Against a Benchmark of Perfection. CoRR abs/1606.04956 (2016) - [i1]Jon M. Kleinberg, Sendhil Mullainathan, Manish Raghavan:
Inherent Trade-Offs in the Fair Determination of Risk Scores. CoRR abs/1609.05807 (2016) - 2015
- [c3]Himabindu Lakkaraju, Jure Leskovec, Jon M. Kleinberg, Sendhil Mullainathan:
A Bayesian Framework for Modeling Human Evaluations. SDM 2015: 181-189 - 2014
- [c2]Sendhil Mullainathan:
Bugbears or legitimate threats?: (social) scientists' criticisms of machine learning? KDD 2014: 4
1990 – 1999
- 1993
- [c1]Jon M. Kleinberg, Sendhil Mullainathan:
Resource Bounds and Combinations of Consensus Objects. PODC 1993: 133-143
Coauthor Index
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