Michael Kearns
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Model Agreement via Anchoring. | Eric Eaton, Surbhi Goel, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell |
| 2026 | SODA | Networked Information Aggregation via Machine Learning. | Michael Kearns, Aaron Roth, Emily Ryu |
| 2025 | AIES | Improving LLM Group Fairness on Tabular Data via In-Context Learning. | Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Bertran Lopez, Michael Kearns, James Zou |
| 2025 | ICML | Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces. | Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell |
| 2024 | ICML | Membership Inference Attacks on Diffusion Models via Quantile Regression. | Shuai Tang, Steven Wu, Sergl Aydre, Michael Kearns, Aaron Roth |
| 2023 | AIES | Multicalibrated Regression for Downstream Fairness. | Ira Globus-Harris, Varun Gupta, Christopher Jung, Michael Kearns, Jamie Morgenstern, Aaron Roth |
| 2023 | ICML | Multicalibration as Boosting for Regression. | Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell |
| 2022 | CVPR | Mixed Differential Privacy in Computer Vision. | Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto |
| 2021 | AIES | Minimax Group Fairness: Algorithms and Experiments. | Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth |
| 2021 | ICML | Differentially Private Query Release Through Adaptive Projection. | Sergl Aydre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva |