Michael Feffer

According to our database, Michael Feffer authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Prompt Exploration with Prompt Regression.

Michael Feffer, Ronald Xu, Yuekai Sun, Mikhail Yurochkin

CoRR, 2024

Red-Teaming for Generative AI: Silver Bullet or Security Theater?

Michael Feffer, Anusha Sinha, Zachary C. Lipton, Hoda Heidari

CoRR, 2024

2023

A Suite of Fairness Datasets for Tabular Classification.

Martin Hirzel, Michael Feffer

CoRR, 2023

DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms.

Michael Feffer, Zachary C. Lipton, Chris Donahue

Proceedings of the 2nd Workshop on Human-Centric Music Information Retrieval 2023 co-located with the 24th International Society for Music Information Retrieval Conference (ISMIR 2023), 2023

The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements.

Michael Feffer, Nikolas Martelaro, Hoda Heidari

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

Searching for Fairer Machine Learning Ensembles.

Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar

Proceedings of the International Conference on Automated Machine Learning, 2023

From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research.

Michael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Moral Machine or Tyranny of the Majority?

Michael Feffer, Hoda Heidari, Zachary C. Lipton

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

2022

Navigating Ensemble Configurations for Algorithmic Fairness.

Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar

CoRR, 2022

An Empirical Study of Modular Bias Mitigators and Ensembles.

Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar

CoRR, 2022

2018

A Mixture of Personalized Experts for Human Affect Estimation.

Michael Feffer, Ognjen (Oggi) Rudovic, Rosalind W. Picard

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018