Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

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Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

Career

Award

BibTeX

Human Aspects of Machine Learning Article Causal fair metric: Bridging causality, individual fairness, and adversarial robustness Ehyaei, A. R., Farnadi, G., Samadi, S. Transactions on Machine Learning Research, 2025, Accepted (Accepted) BibTeX

Human Aspects of Machine Learning Empirical Inference Conference Paper The Role of Learning Algorithms in Collective Action Ben-Dov*, O., Fawkes*, J., Samadi, S., Sanyal, A. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:3443-3461, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024, *equal contribution (Published) URL BibTeX

Human Aspects of Machine Learning Unpublished A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence Sühr, T., Samadi, S., Farronato, C. 2024, Submitted (Submitted) BibTeX

Human Aspects of Machine Learning Conference Paper Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. Ehyaei, A., Mohammadi, K., Karimi, A., Samadi, S., Farnadi, G. In Proceedings of the AAAI Conference on Artificial Intelligence, 2024 (Published) BibTeX

Human Aspects of Machine Learning Conference Paper Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport Ehyaei, A. R., Farnadi, G., Samadi, S. In Proceedings of the AAAI Conference on Artificial Intelligence, 2024 (Published) BibTeX

Human Aspects of Machine Learning Conference Paper Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness. Ehyaei, A. R., Farnadi, G., Samadi, S. In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 (Published) BibTeX

Human Aspects of Machine Learning Social Foundations of Computation Unpublished Challenging the validity of personality tests for large language models Tom, S., Florian, D., Samadi, S., Kelava, A. arXiv, 2023, Submitted (Submitted) BibTeX

Human Aspects of Machine Learning Social Foundations of Computation Conference Paper Do personality tests generalize to Large Language Models? Sühr, T., Dorner, F., Samadi, S., Kelava, A. In Proceedings of the Thirty-Seventh Annual Conference on Neural Information Processing Systems., Ernest N. Morial Convention Center, New Orleans, Louisiana., Socially Responsible Language Modelling Research (SoLaR) Workshop at NeurIPS, 2023 (Published) URL BibTeX

Human Aspects of Machine Learning Empirical Inference Conference Paper Robustness implies fairness in causal algorithmic recourse. Ehyaei, A., Karimi, A., Schölkopf, B., Maghsudi, S. In 2023 (Published) BibTeX

Empirical Inference Human Aspects of Machine Learning Conference Paper Hermite Polynomial Features for Private Data Generation Vinaroz*, M., Charusaie*, M., Harder, F., Adamczewski, K., Park, M. J. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:22300-22324, 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, *equal contribution (Published) URL BibTeX

Human Aspects of Machine Learning Article Compressibility Measures for Affinely Singular Random Vectors Charusaie, M., Amini, A., Rini, S. IEEE Transactions on Information Theory, 68(9):6245-6275, IEEE, 2022 (Published) DOI BibTeX

Human Aspects of Machine Learning Conference Paper Sample Efficient Learning of Predictors that Complement Humans Charusaie*, M., Mozannar*, H., Sontag, D., Samadi, S. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:2972-3005, Proceedings of Machine Learning Research , PMLR, 39th International Conference on Machine Learning (ICML 2022) , 2022 (Published) URL BibTeX

Human Aspects of Machine Learning Conference Paper On the Compressibility of Affinely Singular Random Vectors Charusaie, M., Rini, S., Amini, A. On the Compressibility of Affinely Singular Random Vectors, :2240-2245, 2020 () DOI BibTeX

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