Tag algorithmic fairness
Revolutionizing ℓ∞ and ℓ1 Regression: Improved Convergence with Iteratively Reweighted Least Squares
The field of regression analysis has continuously evolved over the years, with various methods emerging to improve efficiency and accuracy. One notable technique that has gained popularity is the Iteratively Reweighted Least Squares (IRLS) method. Recent research carries significant implications… Continue Reading →
In the rapidly evolving field of artificial intelligence, one critical concern has become increasingly pronounced: the presence of bias in machine learning models. This issue is particularly evident in neural networks used for tasks ranging from hiring to lending decisions…. Continue Reading →
As we explore the cutting-edge realms of algorithmic research in 2023, a groundbreaking study emerges in the search for small hitting sets within infinite range spaces of bounded VC-dimension. Led by Khaled Elbassioni, the research delves into the intricate world… Continue Reading →
In a world where our personal data is collected and analyzed by numerous companies, the issue of unfair treatments arising from irresponsible data usage has become increasingly concerning. Decision-making entities need to be held accountable for any unfair or discriminatory… Continue Reading →