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.
Learning and adaptive systems in artificial intelligence [See also 68Q32]
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Counts include all statuses and descendants. Classifications are editorial or inferred from community fields, not an AMS assessment of the problem.
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.
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.
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.
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.
Fast meta-learning rates with variational task posteriors. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.
These are selected sources for the parent class. Article coverage is a first reviewed selection, and may not cover this exact subcategory.
Springer Nature
Discrete geometry and geometric computation
SIAM
Theory of computation
SIAM
Applied and computational mathematics reviews
2007 · 2 questions extracted
2020 · 0 questions extracted
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