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2020 – today
- 2024
[c11]Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi
:
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. AAAI 2024: 11847-11855- [c10]Omri Ben-Dov, Jake Fawkes, Samira Samadi, Amartya Sanyal:
The Role of Learning Algorithms in Collective Action. ICML 2024 - [i16]Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi:
Collective Counterfactual Explanations via Optimal Transport. CoRR abs/2402.04579 (2024) - [i15]Omri Ben-Dov, Jake Fawkes, Samira Samadi, Amartya Sanyal:
The Role of Learning Algorithms in Collective Action. CoRR abs/2405.06582 (2024) - [i14]Tom Sühr, Samira Samadi, Chiara Farronato:
A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence. CoRR abs/2405.13753 (2024) - [i13]Mohammad-Amin Charusaie, Samira Samadi:
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems. CoRR abs/2407.12710 (2024) - [i12]Mirabel Reid, Tom Sühr, Claire Vernade, Samira Samadi:
Online Decision Deferral under Budget Constraints. CoRR abs/2409.20489 (2024) - 2023
- [i11]Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi:
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces. CoRR abs/2308.08938 (2023) - [i10]Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi:
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness. CoRR abs/2310.19391 (2023) - [i9]Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava:
Do personality tests generalize to Large Language Models? CoRR abs/2311.05297 (2023) - 2022
- [c9]Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell:
Pairwise Fairness for Ordinal Regression. AISTATS 2022: 3381-3417 - [c8]Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi:
Sample Efficient Learning of Predictors that Complement Humans. ICML 2022: 2972-3005 - [i8]Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi:
Sample Efficient Learning of Predictors that Complement Humans. CoRR abs/2207.09584 (2022) - 2021
- [c7]Mehrdad Ghadiri, Samira Samadi, Santosh S. Vempala:
Socially Fair k-Means Clustering. FAccT 2021: 438-448 - [i7]Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell:
Pairwise Fairness for Ordinal Regression. CoRR abs/2105.03153 (2021) - 2020
- [b1]Samira Samadi:
Human Aspects of Machine Learning. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [i6]Mehrdad Ghadiri, Samira Samadi, Santosh S. Vempala:
Fair k-Means Clustering. CoRR abs/2006.10085 (2020)
2010 – 2019
- 2019
- [c6]Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern:
Guarantees for Spectral Clustering with Fairness Constraints. ICML 2019: 3458-3467 - [c5]Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh, Jamie Morgenstern, Santosh S. Vempala:
Multi-Criteria Dimensionality Reduction with Applications to Fairness. NeurIPS 2019: 15135-15145 - [i5]Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern:
Guarantees for Spectral Clustering with Fairness Constraints. CoRR abs/1901.08668 (2019) - [i4]Jamie Morgenstern, Samira Samadi, Mohit Singh, Uthaipon Tao Tantipongpipat, Santosh S. Vempala:
Fair Dimensionality Reduction and Iterative Rounding for SDPs. CoRR abs/1902.11281 (2019) - 2018
- [c4]Samira Samadi, Santosh S. Vempala, Adam Tauman Kalai:
Usability of Humanly Computable Passwords. HCOMP 2018: 174-183 - [c3]Samira Samadi, Uthaipon Tao Tantipongpipat, Jamie Morgenstern, Mohit Singh, Santosh S. Vempala:
The Price of Fair PCA: One Extra dimension. NeurIPS 2018: 10999-11010 - [i3]Samira Samadi, Uthaipon Tao Tantipongpipat, Jamie Morgenstern, Mohit Singh, Santosh S. Vempala:
The Price of Fair PCA: One Extra Dimension. CoRR abs/1811.00103 (2018) - 2017
- [i2]Samira Samadi, Santosh S. Vempala, Adam Tauman Kalai:
Usability of Humanly Computable Passwords. CoRR abs/1712.03650 (2017) - 2016
- [c2]Shrinu Kushagra, Samira Samadi, Shai Ben-David:
Finding Meaningful Cluster Structure Amidst Background Noise. ALT 2016: 339-354 - 2014
- [c1]Nick Harvey, Samira Samadi:
Near-Optimal Herding. COLT 2014: 1165-1182 - 2013
- [i1]Samira Samadi:
Submodular Welfare Maximization. CoRR abs/1311.5603 (2013)
Coauthor Index
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