Annie Liang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Information Acquisition

Human Perception

Top Venues

J. Econ. Theory

Publications

Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski
Challenges in Variable Importance Ranking Under Correlation. CoRR (2024)
Eric Auerbach, Annie Liang, Max Tabord-Meehan, Kyohei Okumura
Testing the Fairness-Improvability of Algorithms. CoRR (2024)
Andrei Iakovlev, Annie Liang
The Value of Context: Human versus Black Box Evaluators. CoRR (2024)
Annie Liang, Jay Lu
Algorithmic Fairness and Social Welfare. CoRR (2024)
Annie Liang, Jay Lu, Xiaosheng Mu
Algorithmic Design: Fairness Versus Accuracy. EC (2022)
Drew Fudenberg, Wayne Gao, Annie Liang
How Flexible is that Functional Form?: Measuring the Restrictiveness of Theories. EC (2021)
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
Dynamically Aggregating Diverse Information. EC (2021)
Drew Fudenberg, Annie Liang
Machine learning for evaluating and improving theories. SIGecom Exch. 18 (1) (2020)
Annie Liang, Erik Madsen
Data and Incentives. CoRR (2020)
Drew Fudenberg, Wayne Gao, Annie Liang
How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories. CoRR (2020)
Annie Liang, Erik Madsen
Data and Incentives. EC (2020)
Annie Liang
Games of Incomplete Information Played By Statisticians. CoRR (2019)
Annie Liang
Inference of preference heterogeneity from choice data. J. Econ. Theory 179 (2019)
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
Dynamically Aggregating Diverse Information. CoRR (2019)
Drew Fudenberg, Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan
Measuring the Completeness of Theories. CoRR (2019)
Annie Liang, Xiaosheng Mu
Overabundant Information and Learning Traps. CoRR (2018)
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
Optimal and Myopic Information Acquisition. EC (2018)
Annie Liang, Xiaosheng Mu
Overabundant Information and Learning Traps. EC (2018)
Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan
The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness. CoRR (2017)
Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan
The Theory is Predictive, but is it Complete?: An Application to Human Perception of Randomness. EC (2017)
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
Optimal Learning from Multiple Information Sources. CoRR (2017)