Annie Liang

29 papers A* 11Journal 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Creative Ownership in the Age of AI.
CoRR
Annie Liang, Jay Lu
2026 J jnl
How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge.
CoRR
Wayne Gao, Sukjin Han, Annie Liang
2025 A* conf
Artificial Intelligence Clones.
EC
Annie Liang
2025 J jnl
Artificial Intelligence Clones.
CoRR
Annie Liang
2025 J jnl
Friend or Foe: Delegating to an AI Whose Alignment is Unknown.
CoRR
Drew Fudenberg, Annie Liang
2025 A* conf
The Transfer Performance of Economic Models.
EC
Isaiah Andrews, Drew Fudenberg, Lihua Lei, Annie Liang, Chaofeng Wu
2025 A* conf
The Value of Context: Human versus Black Box Evaluators.
EC
Andrei Iakovlev, Annie Liang
2024 J jnl
Algorithmic Fairness and Social Welfare.
CoRR
Annie Liang, Jay Lu
2024 J jnl
Challenges in Variable Importance Ranking Under Correlation.
CoRR
Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski
2024 A* conf
Managing Strategic Complexity.
EC
Jeffrey Ely, Benjamin Golub, Annie Liang, Chaofeng Wu
2024 J jnl
Testing the Fairness-Improvability of Algorithms.
CoRR
Eric Auerbach, Annie Liang, Max Tabord-Meehan, Kyohei Okumura
2024 J jnl
The Value of Context: Human versus Black Box Evaluators.
CoRR
Andrei Iakovlev, Annie Liang
2022 A* conf
Algorithmic Design: Fairness Versus Accuracy.
EC
Annie Liang, Jay Lu, Xiaosheng Mu
2021 A* conf
Dynamically Aggregating Diverse Information.
EC
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
2021 A* conf
How Flexible is that Functional Form?: Measuring the Restrictiveness of Theories.
EC
Drew Fudenberg, Wayne Gao, Annie Liang
2020 A* conf
Data and Incentives.
EC
Annie Liang, Erik Madsen
2020 J jnl
Data and Incentives.
CoRR
Annie Liang, Erik Madsen
2020 J jnl
How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories.
CoRR
Drew Fudenberg, Wayne Gao, Annie Liang
2020 J jnl
Machine learning for evaluating and improving theories.
SIGecom Exch.
Drew Fudenberg, Annie Liang
2019 J jnl
Dynamically Aggregating Diverse Information.
CoRR
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
2019 J jnl
Games of Incomplete Information Played By Statisticians.
CoRR
Annie Liang
2019 J jnl
Inference of preference heterogeneity from choice data.
J. Econ. Theory
Annie Liang
2019 J jnl
Measuring the Completeness of Theories.
CoRR
Drew Fudenberg, Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan
2018 A* conf
Optimal and Myopic Information Acquisition.
EC
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
2018 A* conf
Overabundant Information and Learning Traps.
EC
Annie Liang, Xiaosheng Mu
2018 J jnl
Overabundant Information and Learning Traps.
CoRR
Annie Liang, Xiaosheng Mu
2017 J jnl
Optimal Learning from Multiple Information Sources.
CoRR
Annie Liang, Xiaosheng Mu, Vasilis Syrgkanis
2017 J jnl
The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness.
CoRR
Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan
2017 A* conf
The Theory is Predictive, but is it Complete?: An Application to Human Perception of Randomness.
EC
Jon M. Kleinberg, Annie Liang, Sendhil Mullainathan