"surrogate models" Papers

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Informed Initialization for Bayesian Optimization and Active Learning

Carl Hvarfner, David Eriksson, Eytan Bakshy et al.

NEURIPS 2025arXiv:2510.23681
1
citations

Per-Architecture Training-Free Metric Optimization for Neural Architecture Search

Mingzhuo Lin, Jianping Luo

NEURIPS 2025

SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.

Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge et al.

NEURIPS 2025arXiv:2502.06753

TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks

Fabio Brau, Maura Pintor, Antonio Cinà et al.

NEURIPS 2025

Learning Surrogates for Offline Black-Box Optimization via Gradient Matching

Minh Hoang, Azza Fadhel, Aryan Deshwal et al.

ICML 2024arXiv:2503.01883

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

Tao Wu, Tie Luo, D. C. Wunsch

AAAI 2024paperarXiv:2312.13118
7
citations

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization

Jiarong Pan, Stefan Falkner, Felix Berkenkamp et al.

ICML 2024spotlightarXiv:2307.03565
2
citations