Chris Hays

Orcid: 0000-0002-3524-5564

According to our database¹, Chris Hays authored at least 10 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

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Bibliography

2026

Strategic Candidacy in Generative AI Arenas.

[BibT_eX]

[DOI]

CoRR, March, 2026

Inducing Efficient and Equitable Professional Networks Through Link Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 7th Symposium on Foundations of Responsible Computing, 2026

2025

Statistical Guarantees in the Search for Less Discriminatory Algorithms.

[BibT_eX]

[DOI]

CoRR, December, 2025

The Impossibility of Inverse Permutation Learning in Transformer Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

Chris Hays

Manish Raghavan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[BibT_eX]

[DOI]

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

2024

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

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

2021

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

[BibT_eX]

[DOI]

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

Chris Hays

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