2022
Vinaroz*, M., Charusaie*, M., Harder, F., Adamczewski, K., Park, M. J.
Hermite Polynomial Features for Private Data Generation
Proceedings of the 39th International Conference on Machine Learning (ICML), 162, pages: 22300-22324, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (conference)
Charusaie*, M., Mozannar*, H., Sontag, D., Samadi, S.
Sample Efficient Learning of Predictors that Complement Humans
International Conference of Machine Learning (ICML22), 2022 (conference)
2021
Mehrdad Ghadiri, S. S. S. V.
Socially Fair k-Means Clustering
In ACM Conference on Fairness, Accountability, and Transparency, 2021 (inproceedings)
2020
Forough Poursabzi-Sangdeh, S. S. J. W. V., Wallach, H.
A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition
In Fair and Responsible AI workshop, 2020 (inproceedings)
Charusaie, M., Rini, S., Amini, A.
On the Compressibility of Affinely Singular Random Vectors
On the Compressibility of Affinely Singular Random Vectors, pages: 2240-2245, 2020 (conference)
2019
Uthaipon Tantipongpipat, S. S. M. S. J. M., Vempala, S.
Multi-Criteria Dimensionality Reduction with Applications to Fairness
In Conference on Neural Information Processing Systems, 2019 (inproceedings)
Matthäus Kleindessner, S. S. P. A., Morgenstern, J.
Guarantees for Spectral Clustering with Fairness Constraints
In International Conference on Machine Learning, 2019 (inproceedings)
2018
Samira Samadi, S. V., Kalai, A. T.
Usability of Humanly Computable Passwords
In AAAI Conference on Human Computation and Crowdsourcing, 2018 (inproceedings)
Samira Samadi, U. T. J. M. M. S., Vempala, S.
The Price of Fair PCA: One Extra Dimension
In Conference on Neural Information Processing Systems, 2018 (inproceedings)
2014
Nicholas J. A. Harvey, , Samadi, S.
Near-Optimal Herding
In Conference on Learning Theory, 2014 (inproceedings)