4 papers
MUTACO: Simulator-Efficient Response Matching in Stochastic Nonlinear Systems via Compatibility-Aware Sequential Design
Ege Karadeniz, İlter Onat Korkmaz, Umut Can Turhan +2
Many physical inverse problems are mediated by expensive stochastic simulators for which response gradients, adjoint sensitivities, or a differentiable simulator interface are unav…
Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks
Artun Saday, Yaşar Cahit Yıldırım, Cem Tekin
We address the problem of Gaussian Process (GP) optimization in the presence of unknown and potentially varying adversarial perturbations. Unlike traditional robust optimization ap…
VOPy: A Framework for Black-box Vector Optimization
Yaşar Cahit Yıldırım, Efe Mert Karagözlü, İlter Onat Korkmaz +2
We introduce VOPy, an open-source Python library designed to address black-box vector optimization, where multiple objectives must be optimized simultaneously with respect to a par…
Vector Optimization with Gaussian Process Bandits
İlter Onat Korkmaz, Yaşar Cahit Yıldırım, Çağın Ararat +1
We study black-box vector optimization with Gaussian process bandits, where there is an incomplete order relation on objective vectors described by a polyhedral convex cone. Existi…