Measuring the completeness of economic models D Fudenberg, J Kleinberg, A Liang, S Mullainathan Journal of Political Economy, 2021 | 120* | 2021 |
Predicting and understanding initial play D Fudenberg, A Liang American Economic Review 109 (12), 4112-4141, 2019 | 82 | 2019 |
Complementary information and learning traps A Liang, X Mu The Quarterly Journal of Economics 135 (1), 389-448, 2020 | 46* | 2020 |
Algorithm Design: Fairness and Accuracy A Liang, J Lu, X Mu Unpublished, 2022 | 34* | 2022 |
Optimal and myopic information acquisition A Liang, X Mu, V Syrgkanis Proceedings of the 2018 ACM Conference on Economics and Computation, 45-46, 2018 | 34* | 2018 |
Data and incentives A Liang, E Madsen Proceedings of the 21st ACM Conference on Economics and Computation, 41-42, 2020 | 33* | 2020 |
Dynamically aggregating diverse information A Liang, X Mu, V Syrgkanis Econometrica, 2021 | 30 | 2021 |
Games of incomplete information played by statisticians A Liang arXiv preprint arXiv:1910.07018, 2019 | 29 | 2019 |
How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories D Fudenberg, W Gao, A Liang arXiv preprint arXiv:2007.09213, 2020 | 24 | 2020 |
The transfer performance of economic models I Andrews, D Fudenberg, A Liang, C Wu arXiv preprint arXiv:2202.04796, 2022 | 17 | 2022 |
Inference of preference heterogeneity from choice data A Liang Journal of Economic Theory 179, 275-311, 2019 | 8* | 2019 |
Machine learning for evaluating and improving theories D Fudenberg, A Liang ACM SIGecom Exchanges 18 (1), 4-11, 2020 | 6 | 2020 |
The Value of Context: Human versus Black Box Evaluators A Iakovlev, A Liang arXiv preprint arXiv:2402.11157, 2024 | 2 | 2024 |
Algorithmic Fairness and Social Welfare A Liang, J Lu arXiv preprint arXiv:2404.04424, 2024 | | 2024 |
Information and Learning in Economic Theory A Liang arXiv preprint arXiv:2212.07521, 2022 | | 2022 |