Annie Liang

According to our database1, Annie Liang authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Testing the Fairness-Improvability of Algorithms.
CoRR, 2024

Algorithmic Fairness and Social Welfare.
CoRR, 2024

The Value of Context: Human versus Black Box Evaluators.
CoRR, 2024

Challenges in Variable Importance Ranking Under Correlation.
CoRR, 2024

2022
Algorithmic Design: Fairness Versus Accuracy.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

2021
Dynamically Aggregating Diverse Information.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

How Flexible is that Functional Form?: Measuring the Restrictiveness of Theories.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

2020
Machine learning for evaluating and improving theories.
SIGecom Exch., 2020

How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories.
CoRR, 2020

Data and Incentives.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

2019
Inference of preference heterogeneity from choice data.
J. Econ. Theory, 2019

Measuring the Completeness of Theories.
CoRR, 2019

Games of Incomplete Information Played By Statisticians.
CoRR, 2019

2018
Optimal and Myopic Information Acquisition.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Overabundant Information and Learning Traps.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

2017
Optimal Learning from Multiple Information Sources.
CoRR, 2017

The Theory is Predictive, but is it Complete?: An Application to Human Perception of Randomness.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017


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