What is recorded here?
Relates Gaussian-process upper-confidence bandit cumulative regret to maximal sampling information gain, using kernel spectral structure to derive sublinear-regret results under the source's assumptions.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This is the2009v1 GP-sampled/independent-Gaussian-noise/discretized-setting account, not a blanket import of later agnostic RKHS extensions or corrected constants. Kernel/domain/discretization and acquisition-optimization assumptions matter; finite runs need not find the exact global maximizer. Selected statements read, not an independent proof replay.
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People and systems
Niranjan Srinivas; Andreas Krause; Sham M. Kakade; Matthias Seeger
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
GP bandit UCB regret bounds through information gain
Relates Gaussian-process upper-confidence bandit cumulative regret to maximal sampling information gain, using kernel spectral structure to derive sublinear-regret results under the source's assumptions.
Scientific scope
This is the2009v1 GP-sampled/independent-Gaussian-noise/discretized-setting account, not a blanket import of later agnostic RKHS extensions or corrected constants. Kernel/domain/discretization and acquisition-optimization assumptions matter; finite runs need not find the exact global maximizer. Selected statements read, not an independent proof replay.
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
Niranjan Srinivas; Andreas Krause; Sham M. Kakade; Matthias Seeger
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.