The Theory is Predictive, but is it Complete?: An Application to Human Perception of Randomness. - Jon M. Kleinberg; Annie Liang; Sendhil Mullainathan (EC, 2017)

Optimal Learning from Multiple Information Sources. - Annie Liang; Xiaosheng Mu; Vasilis Syrgkanis (CoRR, 2017)

Overabundant Information and Learning Traps. - Annie Liang; Xiaosheng Mu (EC, 2018)

Optimal and Myopic Information Acquisition. - Annie Liang; Xiaosheng Mu; Vasilis Syrgkanis (EC, 2018)

Games of Incomplete Information Played By Statisticians. - Annie Liang (CoRR, 2019)

Measuring the Completeness of Theories. - Drew Fudenberg; Jon M. Kleinberg; Annie Liang; Sendhil Mullainathan (CoRR, 2019)

Inference of preference heterogeneity from choice data. - Annie Liang (J. Econ. Theory, 2019)

Data and Incentives. - Annie Liang; Erik Madsen (EC, 2020)

How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories. - Drew Fudenberg; Wayne Gao; Annie Liang (CoRR, 2020)

Machine learning for evaluating and improving theories. - Drew Fudenberg; Annie Liang (SIGecom Exch., 2020)

How Flexible is that Functional Form?: Measuring the Restrictiveness of Theories. - Drew Fudenberg; Wayne Gao; Annie Liang (EC, 2021)

Dynamically Aggregating Diverse Information. - Annie Liang; Xiaosheng Mu; Vasilis Syrgkanis (EC, 2021)

Algorithmic Design: Fairness Versus Accuracy. - Annie Liang; Jay Lu; Xiaosheng Mu (EC, 2022)

Managing Strategic Complexity. - Jeffrey Ely; Benjamin Golub; Annie Liang; Chaofeng Wu (EC, 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)

Algorithmic Fairness and Social Welfare. - Annie Liang; Jay Lu (CoRR, 2024)

Testing the Fairness-Improvability of Algorithms. - Eric Auerbach; Annie Liang; Max Tabord-Meehan; Kyohei Okumura (CoRR, 2024)

The Transfer Performance of Economic Models. - Isaiah Andrews; Drew Fudenberg; Lihua Lei; Annie Liang; Chaofeng Wu (EC, 2025)

The Value of Context: Human versus Black Box Evaluators. - Andrei Iakovlev; Annie Liang (EC, 2025)

Artificial Intelligence Clones. - Annie Liang (EC, 2025)