Search Results for author: Samira Samadi

Found 10 papers, 6 papers with code

Collective Counterfactual Explanations via Optimal Transport

no code implementations7 Feb 2024 Ahmad-Reza Ehyaei, Ali Shirali, Samira Samadi

To address these issues, our work proposes a collective approach for formulating counterfactual explanations, with an emphasis on utilizing the current density of the individuals to inform the recommended actions.

counterfactual

Do personality tests generalize to Large Language Models?

no code implementations9 Nov 2023 Florian E. Dorner, Tom Sühr, Samira Samadi, Augustin Kelava

With large language models (LLMs) appearing to behave increasingly human-like in text-based interactions, it has become popular to attempt to evaluate various properties of these models using tests originally designed for humans.

valid

Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness

no code implementations30 Oct 2023 Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi

Despite the essential need for comprehensive considerations in responsible AI, factors like robustness, fairness, and causality are often studied in isolation.

Adversarial Robustness counterfactual +2

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

no code implementations17 Aug 2023 Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi

In this paper, we propose a novel approach that examines the relationship between individual fairness, adversarial robustness, and structural causal models in heterogeneous data spaces, particularly when dealing with discrete sensitive attributes.

Adversarial Robustness Fairness +2

Sample Efficient Learning of Predictors that Complement Humans

1 code implementation19 Jul 2022 Mohammad-Amin Charusaie, Hussein Mozannar, David Sontag, Samira Samadi

One of the goals of learning algorithms is to complement and reduce the burden on human decision makers.

Active Learning

Socially Fair k-Means Clustering

2 code implementations17 Jun 2020 Mehrdad Ghadiri, Samira Samadi, Santosh Vempala

We show that the popular k-means clustering algorithm (Lloyd's heuristic), used for a variety of scientific data, can result in outcomes that are unfavorable to subgroups of data (e. g., demographic groups).

Clustering

Multi-Criteria Dimensionality Reduction with Applications to Fairness

2 code implementations NeurIPS 2019 Uthaipon Tantipongpipat, Samira Samadi, Mohit Singh, Jamie Morgenstern, Santosh Vempala

Our main result is an exact polynomial-time algorithm for the two-criterion dimensionality reduction problem when the two criteria are increasing concave functions.

Dimensionality Reduction Fairness

Guarantees for Spectral Clustering with Fairness Constraints

1 code implementation24 Jan 2019 Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi, Jamie Morgenstern

Given the widespread popularity of spectral clustering (SC) for partitioning graph data, we study a version of constrained SC in which we try to incorporate the fairness notion proposed by Chierichetti et al. (2017).

Clustering Fairness +1

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