A Mixture of Personalized Experts for Human Affect Estimation. - Michael Feffer; Ognjen (Oggi) Rudovic; Rosalind W. Picard (MLDM (2), 2018)

An Empirical Study of Modular Bias Mitigators and Ensembles. - Michael Feffer; Martin Hirzel; Samuel C. Hoffman; Kiran Kate; Parikshit Ram; Avraham Shinnar (CoRR, 2022)

Navigating Ensemble Configurations for Algorithmic Fairness. - Michael Feffer; Martin Hirzel; Samuel C. Hoffman; Kiran Kate; Parikshit Ram; Avraham Shinnar (CoRR, 2022)

Moral Machine or Tyranny of the Majority? - Michael Feffer; Hoda Heidari; Zachary C. Lipton (AAAI, 2023)

From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research. - Michael Feffer; Michael Skirpan; Zachary C. Lipton; Hoda Heidari (AIES, 2023)

Searching for Fairer Machine Learning Ensembles. - Michael Feffer; Martin Hirzel; Samuel C. Hoffman; Kiran Kate; Parikshit Ram; Avraham Shinnar (AutoML, 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 (EAAMO, 2023)

DeepDrake ft. BTS-GAN and TayloRVC: An Exploratory Analysis of Musical Deepfakes and Hosting Platforms. - Michael Feffer; Zachary C. Lipton; Chris Donahue (HCMIR@ISMIR, 2023)

A Suite of Fairness Datasets for Tabular Classification. - Martin Hirzel; Michael Feffer (CoRR, 2023)

Red-Teaming for Generative AI: Silver Bullet or Security Theater? - Michael Feffer; Anusha Sinha; Wesley H. Deng; Zachary C. Lipton; Hoda Heidari (AIES (1), 2024)

Just Label the Repeats for In-the-Wild Audio-to-Score Alignment. - Irmak Bukey; Michael Feffer; Chris Donahue (ISMIR, 2024)

Red-Teaming for Generative AI: Silver Bullet or Security Theater? - Michael Feffer; Anusha Sinha; Zachary C. Lipton; Hoda Heidari (CoRR, 2024)

Prompt Exploration with Prompt Regression. - Michael Feffer; Ronald Xu; Yuekai Sun; Mikhail Yurochkin (CoRR, 2024)

Sound Check: Auditing Audio Datasets. - William Agnew; Julia Barnett; Annie Chu; Rachel Hong; Michael Feffer; Robin Netzorg; Harry H. Jiang; Ezra Awumey; Sauvik Das (CoRR, 2024)