Kevin He

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 29

Top Topics

Network Structure

Social Learning

Generalized Linear

Gradient Boosting

Top Venues

J. Econ. Theory

Publications

Lin Zhong, Yujue Wang, Jun Du, Daji Liang, Ziyuan Zhong, Kevin He, Andrew Zhang
Fast 2-out-of-n ECDSA Threshold Signature. ISPA/BDCloud/SocialCom/SustainCom (2023)
Aaron Trowbridge, Aditya Bhardwaj, Kevin He, David I. Schuster, Zachary Manchester
Direct Collocation for Quantum Optimal Control. QCE (2023)
Lin Zhong, Yujue Wang, Yong Ding, Jun Du, Kevin He, Andrew Zhang
Distributed Key Derivation for Multi-Party Management of Blockchain Digital Assets. ICPADS (2023)
Federico Echenique, Kevin He
Screening p-Hackers: Dissemination Noise as Bait. EC (2022)
Krishna Dasaratha, Kevin He
Learning from Viral Content. CoRR (2022)
Daniel Clark, Drew Fudenberg, Kevin He
Observability, dominance, and induction in learning models. J. Econ. Theory 206 (2022)
Li Liu, Xiangeng Fang, Di Wang, Weijing Tang, Kevin He
KL-divergence Based Deep Learning for Discrete Time Model. CoRR (2022)
Kevin He, Fedor Sandomirskiy, Omer Tamuz
Private Private Information. EC (2022)
Kevin He, Fedor Sandomirskiy, Omer Tamuz
Private Private Information. CoRR (2021)
Krishna Dasaratha, Kevin He
An experiment on network density and sequential learning. Games Econ. Behav. 128 (2021)
Di Wang, Zheng Jing, Kevin He, Lana X. Garmire
Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data. Bioinform. 37 (17) (2021)
Drew Fudenberg, Kevin He
Player-compatible learning and player-compatible equilibrium. J. Econ. Theory 194 (2021)
Krishna Dasaratha, Kevin He
Aggregative Efficiency of Bayesian Learning in Networks. EC (2021)
Matthew T. Patrick, Redina Bardhi, Kalpana Raja, Kevin He, Lam C. Tsoi
Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Di Wang, Wen Ye, Kevin He
Kullback-Leibler-Based Discrete Relative Risk Models for Integration of Published Prediction Models with New Dataset. SPACA (2021)
Kevin He, Jonathan Libgober
Evolutionarily Stable (Mis)specifications: Theory and Applications. EC (2021)
Krishna Dasaratha, Kevin He
Network structure and social learning. SIGecom Exch. 19 (2) (2021)
Emily Morris, Kevin He, Yanming Li, Yi Li, Jian Kang
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting. R J. 12 (1) (2020)
Krishna Dasaratha, Kevin He
An Experiment on Network Density and Sequential Learning. EC (2020)
Lanfeng Pan, Yehua Li, Kevin He, Yanming Li, Yi Li
Generalized linear mixed models with Gaussian mixture random effects: Inference and application. J. Multivar. Anal. 175 (2020)
Drew Fudenberg, Kevin He
Payoff information and learning in signaling games. Games Econ. Behav. 120 (2020)
Krishna Dasaratha, Kevin He
Speed of Rational Social Learning in Networks with Gaussian Information. CoRR (2019)
Krishna Dasaratha, Kevin He
An Experiment on Network Density and Sequential Learning. CoRR (2019)
Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li
Covariance-insured screening. Comput. Stat. Data Anal. 132 (2019)
Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li
Covariance-Insured Screening. CoRR (2018)
Kevin He
Mislearning from Censored Data: Gambler's Fallacy in a Search Problem. CoRR (2018)
Krishna Dasaratha, Kevin He
Network Structure and Naive Sequential Learning. CoRR (2017)
Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates. Bioinform. 32 (1) (2016)
Yanming Li, Hyokyoung Grace Hong, Jian Kang, Kevin He, Ji Zhu, Yi Li
Classification with Ultrahigh-Dimensional Features. CoRR (2016)
Kevin He, Xiaosheng Mu
Differentially private and incentive compatible recommendation system for the adoption of network goods. EC (2014)