1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2024
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability
Nazanin Nezami, Hadis Anahideh
Optimizing costly black-box functions within a constrained evaluation budget presents significant challenges in many real-world applications. Surrogate Optimization (SO) is a commo…
cs.LG2023
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…
math.OC2022★ 1 cited
An Empirical Review of Model-based Adaptive Sampling for Global Optimization of Expensive Black-box Functions
Nazanin Nezami, Hadis Anahideh
This paper reviews the state-of-the-art model-based adaptive sampling approaches for single-objective black-box optimization (BBO). While BBO literature includes various promising…