David Liu

According to our database, David Liu authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Forecasting Faculty Placement from Patterns in Co-authorship Networks.

Samantha Dies, David Liu, Tina Eliassi-Rad

CoRR, July, 2025

When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations.

David Liu, Jackie Baek, Tina Eliassi-Rad

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Re-visiting Skip-Gram Negative Sampling: Dimension Regularization for More Efficient Dissimilarity Preservation in Graph Embeddings.

David Liu, Arjun Seshadri, Tina Eliassi-Rad, Johan Ugander

CoRR, 2024

2023

STABLE: Identifying and Mitigating Instability in Embeddings of the Degenerate Core.

David Liu, Tina Eliassi-Rad

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Group fairness without demographics using social networks.

David Liu, Virginie Do, Nicolas Usunier, Maximilian Nickel

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

BiaScope: Visual Unfairness Diagnosis for Graph Embeddings.

Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin

CoRR, 2022

Identifying and Mitigating Instability in Embeddings of the Degenerate Core.

David Liu, Tina Eliassi-Rad

CoRR, 2022

Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews.

David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity.

David Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021