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JMLR — Pre-trained Gaussian Processes for Bayesian Optimization

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OP-11926Learning theoryStatus unassessed

Bayesian optimization with failed function evaluations

Bayesian optimization with failed function evaluations. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.

JMLR — Pre-trained Gaussian Processes for Bayesian Optimization· Source question · editorial summary· 2024

OP-11925Learning theoryStatus unassessed

HyperBO regret beyond finite-dimensional GP assumptions

HyperBO regret beyond finite-dimensional GP assumptions. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.

JMLR — Pre-trained Gaussian Processes for Bayesian Optimization· Source question · editorial summary· 2024

OP-11924Learning theoryStatus unassessed

Necessary conditions for bounded HyperBO regret

Necessary conditions for bounded HyperBO regret. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.

JMLR — Pre-trained Gaussian Processes for Bayesian Optimization· Source question · editorial summary· 2024

OP-11923Learning theoryStatus unassessed

Posterior error bounds for pre-trained Gaussian processes

Posterior error bounds for pre-trained Gaussian processes. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.

JMLR — Pre-trained Gaussian Processes for Bayesian Optimization· Source question · editorial summary· 2024