Samira Samadi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Dimensionality Reduction

Top Venues

Publications

Omri Ben-Dov, Jake Fawkes, Samira Samadi, Amartya Sanyal
The Role of Learning Algorithms in Collective Action. CoRR (2024)
Tom Sühr, Samira Samadi, Chiara Farronato
A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence. CoRR (2024)
Mohammad-Amin Charusaie, Samira Samadi
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems. CoRR (2024)
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)
Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi
Collective Counterfactual Explanations via Optimal Transport. CoRR (2024)
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 (2023)
Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava
Do personality tests generalize to Large Language Models? CoRR (2023)
Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness. CoRR (2023)
Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
Pairwise Fairness for Ordinal Regression. AISTATS (2022)
Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi
Sample Efficient Learning of Predictors that Complement Humans. CoRR (2022)
Mohammad-Amin Charusaie, Hussein Mozannar, David A. Sontag, Samira Samadi
Sample Efficient Learning of Predictors that Complement Humans. ICML (2022)
Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell
Pairwise Fairness for Ordinal Regression. CoRR (2021)
Mehrdad Ghadiri, Samira Samadi, Santosh S. Vempala
Socially Fair k-Means Clustering. FAccT (2021)
Mehrdad Ghadiri, Samira Samadi, Santosh S. Vempala
Fair k-Means Clustering. CoRR (2020)
Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh, Jamie Morgenstern, Santosh S. Vempala
Multi-Criteria Dimensionality Reduction with Applications to Fairness. NeurIPS (2019)
Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern
Guarantees for Spectral Clustering with Fairness Constraints. ICML (2019)
Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern
Guarantees for Spectral Clustering with Fairness Constraints. CoRR (2019)
Jamie Morgenstern, Samira Samadi, Mohit Singh, Uthaipon Tao Tantipongpipat, Santosh S. Vempala
Fair Dimensionality Reduction and Iterative Rounding for SDPs. CoRR (2019)
Samira Samadi, Uthaipon Tao Tantipongpipat, Jamie Morgenstern, Mohit Singh, Santosh S. Vempala
The Price of Fair PCA: One Extra dimension. NeurIPS (2018)
Samira Samadi, Santosh S. Vempala, Adam Tauman Kalai
Usability of Humanly Computable Passwords. HCOMP (2018)
Samira Samadi, Uthaipon Tao Tantipongpipat, Jamie Morgenstern, Mohit Singh, Santosh S. Vempala
The Price of Fair PCA: One Extra Dimension. CoRR (2018)
Samira Samadi, Santosh S. Vempala, Adam Tauman Kalai
Usability of Humanly Computable Passwords. CoRR (2017)
Shrinu Kushagra, Samira Samadi, Shai Ben-David
Finding Meaningful Cluster Structure Amidst Background Noise. ALT (2016)
Nick Harvey, Samira Samadi
Near-Optimal Herding. COLT (2014)
Samira Samadi
Submodular Welfare Maximization. CoRR (2013)