Paper "black-box optimization" Papers

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B2Opt: Learning to Optimize Black-box Optimization with Little Budget

Xiaobin Li, Kai Wu, Xiaoyu Zhang et al.

AAAI 2025paperarXiv:2304.11787

Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs

Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung The Tran

AAAI 2025paperarXiv:2412.15863

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning

Hongshu Guo, Zeyuan Ma, Jiacheng Chen et al.

AAAI 2025paperarXiv:2412.07507

Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation

Xinge Ma, Jin Wang, Xuejie Zhang

AAAI 2025paperarXiv:2503.06028

DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces

Jacob F. Pettit, Chak Shing Lee, Jiachen Yang et al.

AAAI 2025paperarXiv:2412.11051

Kernel Learning for Sample Constrained Black-Box Optimization

Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury

AAAI 2025paperarXiv:2507.20533

Multi-Objective Bayesian Optimization with Active Preference Learning

Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki et al.

AAAI 2024paperarXiv:2311.13460

Sample-Constrained Black Box Optimization for Audio Personalization

Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury

AAAI 2024paperarXiv:2507.12773