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2002.01569
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Uncertainty Quantification for Bayesian Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
4 February 2020
Rui Tuo
Wei Cao
UQCV
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Papers citing
"Uncertainty Quantification for Bayesian Optimization"
4 / 4 papers shown
Decentralized Collective World Model for Emergent Communication and Coordination
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Tatsuya Aoki
Tadahiro Taniguchi
Takato Horii
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04 Apr 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Mingyu Pu
Songhao Wang
Haowei Wang
Szu Hui Ng
254
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0
04 Mar 2025
Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data
M. Risser
M. Noack
Hengrui Luo
Ronald Pandolfi
GP
410
1
0
07 Nov 2024
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Information Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
1.1K
2,410
0
12 Nov 2020
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