2 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
Hyperparameter Adaptive Search for Surrogate Optimization: A Self-Adjusting Approach
Nazanin Nezami, Hadis Anahideh
Surrogate Optimization (SO) algorithms have shown promise for optimizing expensive black-box functions. However, their performance is heavily influenced by hyperparameters related…
Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis
Simone Lazier, Saravanan Thirumuruganathan, Hadis Anahideh
Machine learning (ML) based approaches are increasingly being used in a number of applications with societal impact. Training ML models often require vast amounts of labeled data,…
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness
Francesco Di Carlo, Nazanin Nezami, Hadis Anahideh +1
Despite the potential benefits of machine learning (ML) in high-risk decision-making domains, the deployment of ML is not accessible to practitioners, and there is a risk of discri…