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)

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Charusaie*, M., Mozannar*, H., Sontag, D., Samadi, S. Sample Efficient Learning of Predictors that Complement Humans International Conference of Machine Learning (ICML22), 2022 (conference)

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Charusaie, M., Amini, A., Rini, S. Compressibility Measures for Affinely Singular Random Vectors IEEE Transactions on Information Theory, 2022 (article)

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Kleindessner, M., Samadi, S., Zafar, M. B., Kenthapadi, K., Russell, C. Pairwise Fairness for Ordinal Regression arXiv preprint arXiv:2105.03153, 2021 (article)

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Mehrdad Ghadiri, S. S. S. V. Socially Fair k-Means Clustering In ACM Conference on Fairness, Accountability, and Transparency, 2021 (inproceedings)

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Samadi, S. Human Aspects of Machine Learning Georgia Tech, 2020 (phdthesis)

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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)

pdf Article by Georgia Tech Article by biometricupdate.com [BibTex]

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)

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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)

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Matthäus Kleindessner, S. S. P. A., Morgenstern, J. Guarantees for Spectral Clustering with Fairness Constraints In International Conference on Machine Learning, 2019 (inproceedings)

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Samira Samadi, S. V., Kalai, A. T. Usability of Humanly Computable Passwords In AAAI Conference on Human Computation and Crowdsourcing, 2018 (inproceedings)

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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)

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Shrinu Kushagra, Samira Samadi,, Shai Ben-David. Finding Meaningful Cluster Structure amidst Background Noise Algorithmic Learning Theory, 2016 (article)

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Nicholas J. A. Harvey, , Samadi, S. Near-Optimal Herding In Conference on Learning Theory, 2014 (inproceedings)

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