"high-dimensional optimization" Papers
8 papers found
Conference
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Xiaobin Li, Kai Wu, Xiaoyu Zhang et al.
AAAI 2025paperarXiv:2304.11787
22
citations
Deep Legendre Transform
Aleksey Minabutdinov, Patrick Cheridito
NEURIPS 2025arXiv:2512.19649
Neural Evolution Strategy for Black-box Pareto Set Learning
Chengyu Lu, Zhenhua Li, Xi Lin et al.
NEURIPS 2025
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
Ji Won Park, Natasa Tagasovska, Michael Maser et al.
ICML 2024arXiv:2306.00344
14
citations
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Ruizhong Qiu, Hanghang Tong
ICML 2024arXiv:2405.16805
11
citations
Joint Composite Latent Space Bayesian Optimization
Natalie Maus, Zhiyuan Jerry Lin, Maximilian Balandat et al.
ICML 2024arXiv:2311.02213
3
citations
Sample-and-Bound for Non-convex Optimization
Yaoguang Zhai, Zhizhen Qin, Sicun Gao
AAAI 2024paperarXiv:2401.04812
1
citations
Vanilla Bayesian Optimization Performs Great in High Dimensions
Carl Hvarfner, Erik Hellsten, Luigi Nardi
ICML 2024arXiv:2402.02229
72
citations