Chris Hays

According to our database, Chris Hays authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Double Machine Learning for Causal Inference under Shared-State Interference.

Chris Hays, Manish Raghavan

CoRR, April, 2025

Inducing Efficient and Equitable Professional Networks through Link Recommendations.

Cynthia Dwork, Chris Hays, Lunjia Hu, Nicole Immorlica, Juan C. Perdomo

CoRR, March, 2025

From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs.

Cynthia Dwork, Chris Hays, Nicole Immorlica, Juan C. Perdomo, Pranay Tankala

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Content Moderation and the Formation of Online Communities: A Theoretical Framework.

Cynthia Dwork, Chris Hays, Jon M. Kleinberg, Manish Raghavan

Proceedings of the ACM on Web Conference 2024, 2024

Equilibria, Efficiency, and Inequality in Network Formation for Hiring and Opportunity.

Cynthia Dwork, Chris Hays, Jon M. Kleinberg, Manish Raghavan

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

2023

Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection.

Chris Hays, Zachary Schutzman, Manish Raghavan, Erin Walk, Philipp Zimmer

Proceedings of the ACM Web Conference 2023, 2023

2021

The Effect of the Rooney Rule on Implicit Bias in the Long Term.

L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021