Fang-Yi Yu

Orcid: 0000-0002-3697-8807

Affiliations:
  • George Mason University, Fairfax, VA, USA
  • University of Michigan, Ann Arbor, MI, USA (PhD 2019)


According to our database1, Fang-Yi Yu authored at least 28 papers between 2016 and 2024.

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Bibliography

2024
Algorithmic Robust Forecast Aggregation.
CoRR, 2024

2023
Seeding with Differentially Private Network Information.
CoRR, 2023

Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Differentially Private Network Data Collection for Influence Maximization.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Integer Subspace Differential Privacy.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Two Strongly Truthful Mechanisms for Three Heterogeneous Agents Answering One Question.
ACM Trans. Economics and Comput., December, 2022

Think globally, act locally: On the optimal seeding for nonsubmodular influence maximization.
Inf. Comput., 2022

A System-Level Analysis of Conference Peer Review.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Peer Prediction for Learning Agents.
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.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Subspace Differential Privacy.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Optimal Scoring Rule Design.
CoRR, 2021

Information Elicitation from Rowdy Crowds.
Proceedings of the WWW '21: The Web Conference 2021, 2021

The Limits of Multi-task Peer Prediction.
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.
Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

Cooperation in Threshold Public Projects with Binary Actions.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Timely Information from Prediction Markets.
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.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Limitations of Greed: Influence Maximization in Undirected Networks Re-visited.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Information Elicitation Mechanisms for Statistical Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Dynamics and Social Networks.
PhD thesis, 2019

The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Consensus of Interacting Particle Systems on Erdös-Rényi Graphs.
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.
Proceedings of the Web and Internet Economics - 13th International Conference, 2017

Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Complex Contagions on Configuration Model Graphs with a Power-Law Degree Distribution.
Proceedings of the Web and Internet Economics - 12th International Conference, 2016

Sybil Detection Using Latent Network Structure.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

General Threshold Model for Social Cascades: Analysis and Simulations.
Proceedings of the 2016 ACM Conference on Economics and Computation, 2016


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