Kevin He

According to our database, Kevin He authored at least 25 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Direct Collocation for Quantum Optimal Control.

Aaron Trowbridge, Aditya Bhardwaj, Kevin He, David I. Schuster, Zachary Manchester

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Distributed Key Derivation for Multi-Party Management of Blockchain Digital Assets.

Lin Zhong, Yujue Wang, Yong Ding, Jun Du, Kevin He, Andrew Zhang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Fast 2-out-of-n ECDSA Threshold Signature.

Lin Zhong, Yujue Wang, Jun Du, Daji Liang, Ziyuan Zhong, Kevin He, Andrew Zhang

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

Observability, dominance, and induction in learning models.

Daniel Clark, Drew Fudenberg, Kevin He

J. Econ. Theory, 2022

Learning from Viral Content.

Krishna Dasaratha, Kevin He

CoRR, 2022

Private Private Information.

Kevin He, Fedor Sandomirskiy, Omer Tamuz

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Screening p-Hackers: Dissemination Noise as Bait.

Federico Echenique, Kevin He

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

2021

Network structure and social learning.

Krishna Dasaratha, Kevin He

SIGecom Exch., 2021

Player-compatible learning and player-compatible equilibrium.

Drew Fudenberg, Kevin He

J. Econ. Theory, 2021

Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources.

Matthew T. Patrick, Redina Bardhi, Kalpana Raja, Kevin He, Lam C. Tsoi

J. Am. Medical Informatics Assoc., 2021

An experiment on network density and sequential learning.

Krishna Dasaratha, Kevin He

Games Econ. Behav., 2021

Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data.

Di Wang, Zheng Jing, Kevin He, Lana X. Garmire

Bioinform., 2021

Kullback-Leibler-Based Discrete Relative Risk Models for Integration of Published Prediction Models with New Dataset.

Di Wang, Wen Ye, Kevin He

Proceedings of AAAI Symposium on Survival Prediction, 2021

Evolutionarily Stable (Mis)specifications: Theory and Applications.

Kevin He, Jonathan Libgober

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Aggregative Efficiency of Bayesian Learning in Networks.

Krishna Dasaratha, Kevin He

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

2020

SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting.

Emily Morris, Kevin He, Yanming Li, Yi Li, Jian Kang

R J., 2020

Generalized linear mixed models with Gaussian mixture random effects: Inference and application.

Lanfeng Pan, Yehua Li, Kevin He, Yanming Li, Yi Li

J. Multivar. Anal., 2020

Payoff information and learning in signaling games.

Drew Fudenberg, Kevin He

Games Econ. Behav., 2020

2019

Covariance-insured screening.

Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li

Comput. Stat. Data Anal., 2019

Speed of Rational Social Learning in Networks with Gaussian Information.

Krishna Dasaratha, Kevin He

CoRR, 2019

2018

Mislearning from Censored Data: Gambler's Fallacy in a Search Problem.

Kevin He

CoRR, 2018

2017

Network Structure and Naive Sequential Learning.

Krishna Dasaratha, Kevin He

CoRR, 2017

2016

Classification with Ultrahigh-Dimensional Features.

Yanming Li, Hyokyoung Grace Hong, Jian Kang, Kevin He, Ji Zhu, Yi Li

CoRR, 2016

Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.

Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li

Bioinform., 2016

2014

Differentially private and incentive compatible recommendation system for the adoption of network goods.

Kevin He, Xiaosheng Mu

Proceedings of the ACM Conference on Economics and Computation, 2014