24 citations · 28 across the 5 of their papers we have counts for
7 papers
Bi-Level Contextual Bandits for Individualized Resource Allocation under Delayed Feedback
Mohammadsina Almasi, Hadis Anahideh
Equitably allocating limited resources in high-stakes domains-such as education, employment, and healthcare-requires balancing short-term utility with long-term impact, while accou…
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
Parian Haghighat, Denisa G'andara, Lulu Kang +1
Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and ina…
Inside the Black Box: Detecting and Mitigating Algorithmic Bias across Racialized Groups in College Student-Success Prediction
Denisa Gándara, Hadis Anahideh, Matthew P. Ison +1
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting,…
Fair and Diverse Allocation of Scarce Resources
Hadis Anahideh, Lulu Kang, Nazanin Nezami
We aim to design a fairness-aware allocation approach to maximize the geographical diversity and avoid unfairness in the sense of demographic disparity. During the development of t…
Fair Active Learning
Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan
Machine learning (ML) is increasingly being used in high-stakes applications impacting society. Therefore, it is of critical importance that ML models do not propagate discriminati…
Fair Active Learning
Hadis Anahideh, Abolfazl Asudeh, Saravanan Thirumuruganathan
Machine learning (ML) is increasingly being used in high-stakes applications impacting society. Therefore, it is of critical importance that ML models do not propagate discriminati…
High-dimensional Black-box Optimization Under Uncertainty
Hadis Anahideh, Jay Rosenberger, Victoria Chen
Optimizing expensive black-box systems with limited data is an extremely challenging problem. As a resolution, we present a new surrogate optimization approach by addressing two ga…