Samira Samadi
Samira Samadi
Research Group Leader. Max Planck Institute for Intelligent Systems
Verified email at - Homepage
Cited by
Cited by
Guarantees for Spectral Clustering with Fairness Constraints
M Kleindessner, S Samadi, P Awasthi, J Morgenstern, 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
Socially Fair k-Means Clustering
M Ghadiri, S Samadi, S Vempala
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 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
Sample efficient learning of predictors that complement humans
MA Charusaie, H Mozannar, D Sontag, S Samadi
International Conference on Machine Learning, 2972-3005, 2022
Near-optimal herding
N Harvey, S Samadi
Conference on Learning Theory, 1165-1182, 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
Usability of Humanly Computable Passwords
S Samadi, S Vempala, AT Kalai
AAAI Conference on Human Computation and Crowdsourcing, 2018
Do personality tests generalize to Large Language Models?
FE Dorner, T Sühr, S Samadi, A Kelava
arXiv preprint arXiv:2311.05297, 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
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
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
Fairness in clustering
P Awasthi, B Brubach, D Chakrabarty, JP Dickerson, SA Esmaeili, ...
Conference on Artificial Intelligence (AAAI), 2022
Socially fair 𝑘-means clustering
M Ghadiri, S Samadi, S Vempala
FAccT, 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
Causal fair metric: Bridging causality, individual fairness, and adversarial robustness
AR Ehyaei, G Farnadi, S Samadi
arXiv preprint arXiv:2310.19391, 2023
Fairness in Clustering
B Brubach, D Chakrabarty, JP Dickerson, S Esmaeili, M Kleindessner, ...
Fair k-means clustering
M Ghadiri, S Samadi, S Vempala
arXiv preprint arXiv:2006.10085, 2020
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
MA Charusaie, S Samadi
arXiv preprint arXiv:2407.12710, 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
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