Extends uniform error bounds for Gaussian process vector-valued functions to linear models of co-regionalization and demonstrates performance gains via numerical comparison on a safe multi-task Bayesian optimization benchmark.
On safety in safe bayesian optimization
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
SafeCtrlBO combines additive GP kernels with boundary-based safe-set expansion to achieve efficient safe optimization of multi-loop controllers on benchmarks and a PMSM hardware platform.
citing papers explorer
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Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization
Extends uniform error bounds for Gaussian process vector-valued functions to linear models of co-regionalization and demonstrates performance gains via numerical comparison on a safe multi-task Bayesian optimization benchmark.
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Safe Bayesian Optimization for Complex Control Systems via Additive Gaussian Processes
SafeCtrlBO combines additive GP kernels with boundary-based safe-set expansion to achieve efficient safe optimization of multi-loop controllers on benchmarks and a PMSM hardware platform.
- Autonomous Reliability Qualification of Ga$_2$O$_3$-based diode sensors via Safe Active Learning