Research map / Learning theory and algorithms / Kernels and regression theory
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use QFF approximation instead of exact GP in Thompson sampling | TS BO with additive SE kernel · high-dimensional benchmark functions | runtime | Helped |
| use QFF instead of exact GP | TS BO · benchmark functions | cumulative regret | Mixed |
| use QFF instead of RFF | TS BO · adversarially initialized benchmarks | cumulative regret | Helped |
| use TS-QFF instead of canonical BO | SwissFEL simulator tuning · free electron laser tuning | runtime | Helped |
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