Network Structure and Naive Sequential Learning. - Krishna Dasaratha; Kevin He (CoRR, 2017)

Stern Sequences for a Family of Multidimensional Continued Fractions: TRIP-Stern Sequences. - Ilya Amburg; Krishna Dasaratha; Laure Flapan; Thomas Garrity; Chansoo Lee; Cornelia Mihaila; Nicholas Neumann-Chun; Sarah Peluse; Matthew Stoffregen (J. Integer Seq., 2017)

Bayesian Social Learning in a Dynamic Environment. - Krishna Dasaratha; Benjamin Golub; Nir Hak (EC, 2018)

Innovation and Strategic Network Formation. - Krishna Dasaratha (CoRR, 2019)

Speed of Rational Social Learning in Networks with Gaussian Information. - Krishna Dasaratha; Kevin He (CoRR, 2019)

Distributions of centrality on networks. - Krishna Dasaratha (Games Econ. Behav., 2020)

Aggregative Efficiency of Bayesian Learning in Networks. - Krishna Dasaratha; Kevin He (EC, 2021)

An experiment on network density and sequential learning. - Krishna Dasaratha; Kevin He (Games Econ. Behav., 2021)

Network structure and social learning. - Krishna Dasaratha; Kevin He (SIGecom Exch., 2021)

Equity Pay in Networked Teams. - Krishna Dasaratha; Benjamin Golub; Anant Shah (EC, 2023)

Virus dynamics with behavioral responses. - Krishna Dasaratha (J. Econ. Theory, 2023)

Learning from Viral Content. - Krishna Dasaratha; Kevin He (EC, 2024)

Optimal Bailouts in Diversified Financial Networks. - Krishna Dasaratha; Santosh Venkatesh; Rakesh Vohra (CoRR, 2024)

Incentive Design With Spillovers. - Krishna Dasaratha; Benjamin Golub; Anant Shah (EC, 2025)

Markets for Models. - Krishna Dasaratha; Juan Ortner; Chengyang Zhu (EC, 2025)