Guarantees for Spectral Clustering with Fairness Constraints M Kleindessner, S Samadi, P Awasthi, J Morgenstern http://proceedings.mlr.press/v97/kleindessner19b.html, 2019 | 172 | 2019 |
The Price of Fair PCA: One Extra Dimension S Samadi, U Tantipongpipat, J Morgenstern, M Singh, S Vempala 32nd Conference on Neural Information Processing Systems (NIPS), 2018 | 165 | 2018 |
Socially Fair k-Means Clustering M Ghadiri, S Samadi, S Vempala ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2021 | 105 | 2021 |
Multi-Criteria Dimensionality Reduction with Applications to Fairness UT Tantipongpipat, S Samadi, M Singh, J Morgenstern, S Vempala 33rd Conference on Neural Information Processing Systems (NeurIPS), 2019 | 40 | 2019 |
Sample efficient learning of predictors that complement humans MA Charusaie, H Mozannar, D Sontag, S Samadi International Conference on Machine Learning, 2972-3005, 2022 | 32 | 2022 |
Near-optimal herding N Harvey, S Samadi Conference on Learning Theory, 1165-1182, 2014 | 29 | 2014 |
Fair Dimensionality Reduction and Iterative Rounding for SDPs J Morgenstern, S Samadi, U Singh, Mohit, Tantipongpipat, S Vempala arXiv preprint arXiv:1902.11281, 2019 | 13 | 2019 |
Usability of Humanly Computable Passwords S Samadi, S Vempala, AT Kalai AAAI Conference on Human Computation and Crowdsourcing, 2018 | 13 | 2018 |
Do personality tests generalize to Large Language Models? FE Dorner, T Sühr, S Samadi, A Kelava arXiv preprint arXiv:2311.05297, 2023 | 12 | 2023 |
Finding meaningful cluster structure amidst background noise S Kushagra, S Samadi, S Ben-David Algorithmic Learning Theory: 27th International Conference, ALT 2016, Bari …, 2016 | 12 | 2016 |
Pairwise fairness for ordinal regression M Kleindessner, S Samadi, MB Zafar, K Kenthapadi, C Russell International Conference on Artificial Intelligence and Statistics, 3381-3417, 2022 | 11 | 2022 |
A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition F Poursabzi-Sangdeh, S Samadi, J Wortman Vaughan, H Wallach Fair and Responsible AI workshop at CHI, 2020 | 6 | 2020 |
Fairness in clustering P Awasthi, B Brubach, D Chakrabarty, JP Dickerson, SA Esmaeili, ... Conference on Artificial Intelligence (AAAI), 2022 | 2 | 2022 |
Socially fair 𝑘-means clustering M Ghadiri, S Samadi, S Vempala FAccT, 2021 | 2 | 2021 |
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AR Ehyaei, K Mohammadi, AH Karimi, S Samadi, G Farnadi Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11847 …, 2024 | 1 | 2024 |
Causal fair metric: Bridging causality, individual fairness, and adversarial robustness AR Ehyaei, G Farnadi, S Samadi arXiv preprint arXiv:2310.19391, 2023 | 1 | 2023 |
Fairness in Clustering B Brubach, D Chakrabarty, JP Dickerson, S Esmaeili, M Kleindessner, ... | 1 | 2022 |
Fair k-means clustering M Ghadiri, S Samadi, S Vempala arXiv preprint arXiv:2006.10085, 2020 | 1 | 2020 |
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems MA Charusaie, S Samadi arXiv preprint arXiv:2407.12710, 2024 | | 2024 |
A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence T Sühr, S Samadi, C Farronato arXiv preprint arXiv:2405.13753, 2024 | | 2024 |