What is recorded here?
Studies covariance choices and integration over GP hyperparameters, expected-improvement-per-time acquisition and Monte Carlo fantasies for pending parallel evaluations.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Bayesian optimization and expected improvement predate the work; the contribution is practical modeling/inference and scheduling refinements. Cost modeling assumes independence of objective and log duration in this source, and finite Monte Carlo/acquisition optimization is approximate. No universally optimal finite-budget tuner is established.
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People and systems
Jasper Snoek; Hugo Larochelle; Ryan P. Adams
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Practical GP-based hyperparameter optimization
Studies covariance choices and integration over GP hyperparameters, expected-improvement-per-time acquisition and Monte Carlo fantasies for pending parallel evaluations.
Scientific scope
Bayesian optimization and expected improvement predate the work; the contribution is practical modeling/inference and scheduling refinements. Cost modeling assumes independence of objective and log duration in this source, and finite Monte Carlo/acquisition optimization is approximate. No universally optimal finite-budget tuner is established.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Jasper Snoek; Hugo Larochelle; Ryan P. Adams
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.