no code implementations • 21 Mar 2025 • Khadija Zanna, Akane Sano
Causal discovery (CD) plays a pivotal role in numerous scientific fields by clarifying the causal relationships that underlie phenomena observed in diverse disciplines.
no code implementations • 12 Apr 2024 • Khadija Zanna, Akane Sano
Bias originates from both data and algorithmic design, often exacerbated by traditional fairness methods that fail to address the subtle impacts of protected attributes.
1 code implementation • 12 Apr 2024 • Zeyu Yang, Han Yu, Peikun Guo, Khadija Zanna, Xiaoxue Yang, Akane Sano
Diffusion models have emerged as a robust framework for various generative tasks, including tabular data synthesis.
no code implementations • 7 Aug 2022 • Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano
However, there is still a lack of standard in evaluating bias in such machine learning models in the field, which leads to challenges in providing reliable predictions and in addressing disparities.
no code implementations • 27 Jun 2019 • Khadija Zanna, Sayde King, Tempestt Neal, Shaun Canavan
This paper explores the identification of smartphone users when certain samples collected while the subject felt happy, upset or stressed were absent or present.