Fang-Yi Yu

According to our database, Fang-Yi Yu authored at least 29 papers between 2016 and 2024.

Collaborative distances:

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

2024

Carrot and Stick: Eliciting Comparison Data and Beyond.

Yiling Chen, Shi Feng, Fang-Yi Yu

CoRR, 2024

Algorithmic Robust Forecast Aggregation.

Yongkang Guo, Jason D. Hartline, Zhihuan Huang, Yuqing Kong, Anant Shah, Fang-Yi Yu

CoRR, 2024

2023

Seeding with Differentially Private Network Information.

M. Amin Rahimian, Fang-Yi Yu, Carlos Hurtado

CoRR, 2023

Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos.

Georgios Piliouras, Fang-Yi Yu

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

Differentially Private Network Data Collection for Influence Maximization.

M. Amin Rahimian, Fang-Yi Yu, Carlos Hurtado

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Integer Subspace Differential Privacy.

Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question.

Grant Schoenebeck, Fang-Yi Yu

ACM Trans. Economics and Comput., December, 2022

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

Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu

Inf. Comput., 2022

A System-Level Analysis of Conference Peer Review.

Yichi Zhang, Fang-Yi Yu, Grant Schoenebeck, David Kempe

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

Peer Prediction for Learning Agents.

Shi Feng, Fang-Yi Yu, Yiling Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimal Local Bayesian Differential Privacy over Markov Chains.

Darshan Chakrabarti, Jie Gao, Aditya Saraf, Grant Schoenebeck, Fang-Yi Yu

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Subspace Differential Privacy.

Jie Gao, Ruobin Gong, Fang-Yi Yu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Optimal Scoring Rule Design.

Yiling Chen, Fang-Yi Yu

CoRR, 2021

Information Elicitation from Rowdy Crowds.

Grant Schoenebeck, Fang-Yi Yu, Yichi Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

The Limits of Multi-task Peer Prediction.

Shuran Zheng, Fang-Yi Yu, Yiling Chen

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

Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach.

Grant Schoenebeck, Fang-Yi Yu

Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

Cooperation in Threshold Public Projects with Binary Actions.

Yiling Chen, Biaoshuai Tao, Fang-Yi Yu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Timely Information from Prediction Markets.

Grant Schoenebeck, Chenkai Yu, Fang-Yi Yu

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Escaping Saddle Points in Constant Dimensional Spaces: An Agent-based Modeling Perspective.

Grant Schoenebeck, Fang-Yi Yu

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Limitations of Greed: Influence Maximization in Undirected Networks Re-visited.

Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Information Elicitation Mechanisms for Statistical Estimation.

Yuqing Kong, Grant Schoenebeck, Biaoshuai Tao, Fang-Yi Yu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dynamics and Social Networks.

Fang-Yi Yu

PhD thesis, 2019

The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks.

Jie Gao, Grant Schoenebeck, Fang-Yi Yu

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

2018

Consensus of Interacting Particle Systems on Erdös-Rényi Graphs.

Grant Schoenebeck, Fang-Yi Yu

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

2017

Cascades and Myopic Routing in Nonhomogeneous Kleinberg's Small World Model.

Jie Gao, Grant Schoenebeck, Fang-Yi Yu

Proceedings of the Web and Internet Economics - 13th International Conference, 2017

Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents.

Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Complex Contagions on Configuration Model Graphs with a Power-Law Degree Distribution.

Grant Schoenebeck, Fang-Yi Yu

Proceedings of the Web and Internet Economics - 12th International Conference, 2016

Sybil Detection Using Latent Network Structure.

Grant Schoenebeck, Aaron Snook, Fang-Yi Yu

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

General Threshold Model for Social Cascades: Analysis and Simulations.

Jie Gao, Golnaz Ghasemiesfeh, Grant Schoenebeck, Fang-Yi Yu

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016