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2020 – today
- 2024
[c8]Jeffrey Ely
, Benjamin Golub, Annie Liang, Chaofeng Wu:
Managing Strategic Complexity. EC 2024: 102- [i12]Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski:
Challenges in Variable Importance Ranking Under Correlation. CoRR abs/2402.03447 (2024) - [i11]Andrei Iakovlev, Annie Liang:
The Value of Context: Human versus Black Box Evaluators. CoRR abs/2402.11157 (2024) - [i10]Annie Liang, Jay Lu:
Algorithmic Fairness and Social Welfare. CoRR abs/2404.04424 (2024) - [i9]Eric Auerbach, Annie Liang, Max Tabord-Meehan, Kyohei Okumura:
Testing the Fairness-Improvability of Algorithms. CoRR abs/2405.04816 (2024) - 2022
- [c7]Annie Liang, Jay Lu, Xiaosheng Mu:
Algorithmic Design: Fairness Versus Accuracy. EC 2022: 58-59 - 2021
- [c6]Drew Fudenberg, Wayne Gao, Annie Liang:
How Flexible is that Functional Form?: Measuring the Restrictiveness of Theories. EC 2021: 497-498 - [c5]Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis:
Dynamically Aggregating Diverse Information. EC 2021: 687-688 - 2020
- [j2]Drew Fudenberg, Annie Liang:
Machine learning for evaluating and improving theories. SIGecom Exch. 18(1): 4-11 (2020) - [c4]Annie Liang, Erik Madsen:
Data and Incentives. EC 2020: 41-42 - [i8]Annie Liang, Erik Madsen:
Data and Incentives. CoRR abs/2006.06543 (2020) - [i7]Drew Fudenberg, Wayne Gao, Annie Liang:
How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories. CoRR abs/2007.09213 (2020)
2010 – 2019
- 2019
- [j1]Annie Liang:
Inference of preference heterogeneity from choice data. J. Econ. Theory 179: 275-311 (2019) - [i6]Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis:
Dynamically Aggregating Diverse Information. CoRR abs/1910.07015 (2019) - [i5]Annie Liang:
Games of Incomplete Information Played By Statisticians. CoRR abs/1910.07018 (2019) - [i4]Drew Fudenberg, Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan:
Measuring the Completeness of Theories. CoRR abs/1910.07022 (2019) - 2018
- [c3]Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis:
Optimal and Myopic Information Acquisition. EC 2018: 45-46 - [c2]Annie Liang, Xiaosheng Mu:
Overabundant Information and Learning Traps. EC 2018: 71-72 - [i3]Annie Liang, Xiaosheng Mu:
Overabundant Information and Learning Traps. CoRR abs/1805.08134 (2018) - 2017
- [c1]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 - [i2]Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis:
Optimal Learning from Multiple Information Sources. CoRR abs/1703.06367 (2017) - [i1]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)
Coauthor Index
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