Submodular Welfare Maximization. - Samira Samadi (CoRR, 2013)

Near-Optimal Herding. - Nick Harvey; Samira Samadi (COLT, 2014)

Finding Meaningful Cluster Structure Amidst Background Noise. - Shrinu Kushagra; Samira Samadi; Shai Ben-David (ALT, 2016)

Usability of Humanly Computable Passwords. - Samira Samadi; Santosh S. Vempala; Adam Tauman Kalai (HCOMP, 2018)

The Price of Fair PCA: One Extra dimension. - Samira Samadi; Uthaipon Tao Tantipongpipat; Jamie Morgenstern; Mohit Singh; Santosh S. Vempala (NeurIPS, 2018)

Guarantees for Spectral Clustering with Fairness Constraints. - Matthäus Kleindessner; Samira Samadi; Pranjal Awasthi; Jamie Morgenstern (ICML, 2019)

Multi-Criteria Dimensionality Reduction with Applications to Fairness. - Uthaipon Tantipongpipat; Samira Samadi; Mohit Singh; Jamie Morgenstern; Santosh S. Vempala (NeurIPS, 2019)

Fair Dimensionality Reduction and Iterative Rounding for SDPs. - Jamie Morgenstern; Samira Samadi; Mohit Singh; Uthaipon Tao Tantipongpipat; Santosh S. Vempala (CoRR, 2019)

Fair k-Means Clustering. - Mehrdad Ghadiri; Samira Samadi; Santosh S. Vempala (CoRR, 2020)

Human Aspects of Machine Learning. - Samira Samadi (2020)

Socially Fair k-Means Clustering. - Mehrdad Ghadiri; Samira Samadi; Santosh S. Vempala (FAccT, 2021)

Pairwise Fairness for Ordinal Regression. - Matthäus Kleindessner; Samira Samadi; Muhammad Bilal Zafar; Krishnaram Kenthapadi; Chris Russell 001 (AISTATS, 2022)

Sample Efficient Learning of Predictors that Complement Humans. - Mohammad-Amin Charusaie; Hussein Mozannar; David A. Sontag; Samira Samadi (ICML, 2022)

Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness. - Ahmad-Reza Ehyaei; Golnoosh Farnadi; Samira Samadi (CoRR, 2023)

Do personality tests generalize to Large Language Models? - Florian E. Dorner; Tom Sühr; Samira Samadi; Augustin Kelava (CoRR, 2023)

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. - Ahmad-Reza Ehyaei; Kiarash Mohammadi; Amir-Hossein Karimi; Samira Samadi; Golnoosh Farnadi (AAAI, 2024)

The Role of Learning Algorithms in Collective Action. - Omri Ben-Dov; Jake Fawkes; Samira Samadi; Amartya Sanyal (ICML, 2024)

A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems. - Mohammad-Amin Charusaie; Samira Samadi (NeurIPS, 2024)

Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness. - Ahmad-Reza Ehyaei; Golnoosh Farnadi; Samira Samadi (NeurIPS, 2024)

Collective Counterfactual Explanations via Optimal Transport. - Ahmad-Reza Ehyaei; Ali Shirali; Samira Samadi (CoRR, 2024)

A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence. - Tom Sühr; Samira Samadi; Chiara Farronato (CoRR, 2024)

Online Decision Deferral under Budget Constraints. - Mirabel Reid; Tom Sühr; Claire Vernade; Samira Samadi (CoRR, 2024)

Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport. - Ahmad-Reza Ehyaei; Golnoosh Farnadi; Samira Samadi (AAAI, 2025)

Bridging Causality, Individual Fairness, and Adversarial Robustness in the Absence of Structural Causal Model. - Ahmad-Reza Ehyaei; Golnoosh Farnadi; Samira Samadi (Trans. Mach. Learn. Res., 2025)

Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead. - Tom Sühr; Florian E. Dorner; Olawale Salaudeen; Augustin Kelava; Samira Samadi (CoRR, 2025)

Fairness for the People, by the People: Minority Collective Action. - Omri Ben-Dov; Samira Samadi; Amartya Sanyal; Alexandru Tifrea (CoRR, 2025)