Acceso público

Complex contagions on configuration model graphs with a power-law degree distribution

G Schoenebeck, FY Yu

Web and Internet Economics: 12th International Conference, WINE 2016 …, 2016

Órdenes: US National Science Foundation

Disponibles en algún lugar: 17

[PDF] arxiv.org

Multi-agent performative prediction: From global stability and optimality to chaos

G Piliouras, FY Yu

Proceedings of the 24th ACM Conference on Economics and Computation, 1047-1074, 2023

Órdenes: A*Star, Singapore, National Research Foundation, Singapore

[PDF] siam.org

Consensus of interacting particle systems on erdös-rényi graphs

G Schoenebeck, FY Yu

Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018

Órdenes: US National Science Foundation

Information elicitation mechanisms for statistical estimation

Y Kong, G Schoenebeck, B Tao, FY Yu

Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 2095-2102, 2020

Órdenes: US National Science Foundation

Subspace differential privacy

J Gao, R Gong, FY Yu

Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3986-3995, 2022

Órdenes: US National Science Foundation

General threshold model for social cascades: Analysis and simulations

J Gao, G Ghasemiesfeh, G Schoenebeck, FY Yu

Proceedings of the 2016 ACM Conference on Economics and Computation, 617-634, 2016

Órdenes: US National Science Foundation

[HTML] acm.org

Two strongly truthful mechanisms for three heterogeneous agents answering one question

G Schoenebeck, FY Yu

ACM Transactions on Economics and Computation 10 (4), 1-26, 2023

Órdenes: US National Science Foundation

[PDF] nsf.gov

Information elicitation from rowdy crowds

G Schoenebeck, FY Yu, Y Zhang

Proceedings of the Web Conference 2021, 3974-3986, 2021

Órdenes: US National Science Foundation

[PDF] rutgers.edu

The volatility of weak ties: Co-evolution of selection and influence in social networks

J Gao, G Schoenebeck, FY Yu

Proceedings of the 18th International Conference on Autonomous Agents and …, 2019

Órdenes: US National Science Foundation

Integer subspace differential privacy

P Dharangutte, J Gao, R Gong, FY Yu

Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7349-7357, 2023

Órdenes: US National Science Foundation

[PDF] neurips.cc

Peer prediction for learning agents

S Feng, FY Yu, Y Chen

Advances in Neural Information Processing Systems 35, 17276-17286, 2022

Órdenes: US National Science Foundation

The limits of multi-task peer prediction

S Zheng, FY Yu, Y Chen

Proceedings of the 22nd ACM Conference on Economics and Computation, 907-926, 2021

Órdenes: US National Science Foundation

Engineering agreement: The naming game with asymmetric and heterogeneous agents

J Gao, B Li, G Schoenebeck, FY Yu

Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017

Órdenes: US National Science Foundation, US Department of Defense

[PDF] sciencedirect.com

Think globally, act locally: On the optimal seeding for nonsubmodular influence maximization

G Schoenebeck, B Tao, FY Yu

Information and Computation 285, 104919, 2022

Órdenes: US National Science Foundation, National Natural Science Foundation of China

[PDF] researchgate.net

Cascades and myopic routing in nonhomogeneous kleinberg’s small world model

J Gao, G Schoenebeck, FY Yu

International Conference on Web and Internet Economics, 383-394, 2017

Órdenes: US National Science Foundation, US Department of Defense

Sybil detection using latent network structure

G Schoenebeck, A Snook, FY Yu

Proceedings of the 2016 ACM Conference on Economics and Computation, 739-756, 2016

Órdenes: US National Science Foundation

A system-level analysis of conference peer review

Y Zhang, FY Yu, G Schoenebeck, D Kempe

Proceedings of the 23rd ACM Conference on Economics and Computation, 1041-1080, 2022

Órdenes: US National Science Foundation, US Department of Defense