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Uncertainty Quantification for Bayesian Optimization

4 February 2020

Papers citing "Uncertainty Quantification for Bayesian Optimization"

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Title
Decentralized Collective World Model for Emergent Communication and Coordination Kentaro Nomura Tatsuya Aoki Tadahiro Taniguchi Takato Horii 181 1 0 04 Apr 2025
Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data M. Risser M. Noack Hengrui Luo Ronald Pandolfi GP 99 0 0 07 Nov 2024
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 369 1,947 0 12 Nov 2020