2024 "high-dimensional optimization" Papers

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BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

Ji Won Park, Natasa Tagasovska, Michael Maser et al.

ICML 2024poster

Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization

Ruizhong Qiu, Hanghang Tong

ICML 2024poster

Joint Composite Latent Space Bayesian Optimization

Natalie Maus, Zhiyuan Jerry Lin, Maximilian Balandat et al.

ICML 2024poster

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 2024poster