Mislearning from censored data: The gambler's fallacy and other correlational mistakes in optimal‐stopping problems K He
Theoretical Economics 17 (3), 1269-1312, 2022
41 * 2022 Network structure and naive sequential learning K Dasaratha, K He
Theoretical Economics 15 (2), 415-444, 2020
36 2020 Learning and type compatibility in signaling games D Fudenberg, K He
Econometrica 86 (4), 1215-1255, 2018
32 2018 Evolutionarily Stable (Mis) specifications: Theory and Applications K He, J Libgober
PIER Working Paper, 2021
26 2021 Private Private Information K He, F Sandomirskiy, O Tamuz
arXiv preprint arXiv:2112.14356, 2021
18 2021 Payoff information and learning in signaling games D Fudenberg, K He
Games and Economic Behavior 120, 96-120, 2020
17 * 2020 Player-compatible learning and player-compatible equilibrium D Fudenberg, K He
Journal of Economic Theory 194, 105238, 2021
16 2021 Bayesian posteriors for arbitrarily rare events D Fudenberg, K He, LA Imhof
Proceedings of the National Academy of Sciences 114 (19), 4925-4929, 2017
13 2017 An experiment on network density and sequential learning K Dasaratha, K He
Games and Economic Behavior 128, 182-192, 2021
12 2021 Dynamic information preference and communication with diminishing sensitivity over news J Duraj, K He
Theoretical Economics, 2023
8 * 2023 Aggregative Efficiency of Bayesian Learning in Networks K Dasaratha, K He
8 * 2020 Differentially private and incentive compatible recommendation system for the adoption of network goods K He, X Mu
Proceedings of the fifteenth ACM conference on Economics and computation …, 2014
8 2014 Observability, dominance, and induction in learning models D Clark, D Fudenberg, K He
Journal of Economic Theory 206, 105569, 2022
3 2022 Screening -Hackers: Dissemination Noise as Bait F Echenique, K He
arXiv preprint arXiv:2103.09164, 2021
2 2021 Network structure and social learning K Dasaratha, K He
ACM SIGecom Exchanges 19 (2), 62-67, 2021
1 2021 Learning from Viral Content K Dasaratha, K He
arXiv preprint arXiv:2210.01267, 2022
2022 Essays on Multi-Agent Learning in Economic Theory S He
Harvard University, 2019
2019