Annie Liang

According to our database, Annie Liang authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Testing the Fairness-Improvability of Algorithms.

Eric Auerbach, Annie Liang, Max Tabord-Meehan, Kyohei Okumura

CoRR, 2024

Algorithmic Fairness and Social Welfare.

Annie Liang, Jay Lu

CoRR, 2024

The Value of Context: Human versus Black Box Evaluators.

Andrei Iakovlev, Annie Liang

CoRR, 2024

Challenges in Variable Importance Ranking Under Correlation.

Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski

CoRR, 2024

Managing Strategic Complexity.

Jeffrey Ely, Benjamin Golub, Annie Liang, Chaofeng Wu

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

2022

Algorithmic Design: Fairness Versus Accuracy.

Annie Liang, Jay Lu, Xiaosheng Mu

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

2021

Dynamically Aggregating Diverse Information.

Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis

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.

Drew Fudenberg, Wayne Gao, Annie Liang

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

2020

Machine learning for evaluating and improving theories.

Drew Fudenberg, Annie Liang

SIGecom Exch., 2020

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

Drew Fudenberg, Wayne Gao, Annie Liang

CoRR, 2020

Data and Incentives.

Annie Liang, Erik Madsen

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

2019

Inference of preference heterogeneity from choice data.

Annie Liang

J. Econ. Theory, 2019

Measuring the Completeness of Theories.

Drew Fudenberg, Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan

CoRR, 2019

Games of Incomplete Information Played By Statisticians.

Annie Liang

CoRR, 2019

2018

Optimal and Myopic Information Acquisition.

Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Overabundant Information and Learning Traps.

Annie Liang, Xiaosheng Mu

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

2017

Optimal Learning from Multiple Information Sources.

Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis

CoRR, 2017

The Theory is Predictive, but is it Complete?: An Application to Human Perception of Randomness.

Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan

Proceedings of the 2017 ACM Conference on Economics and Computation, 2017