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Paper Citation Record · LEDGER

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2412.18789.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.18789 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:37:48.288791Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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  • verified fuzzy17
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e2dc0a6-4bee-45f0-9ab3-3c223b689340 · outbound

This paper cites an unresolved cited work.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Unresolved cited work

Reference 1

Resolution
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Observation 9532420e-979e-478d-95de-8c6ab867b597 · outbound

This paper cites an unresolved cited work.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Unresolved cited work

Reference 2

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Observation a0a38d2a-5ec1-4c6b-ae5d-2fc58c266910 · outbound

This paper cites W ang, Y.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise W ang, Y

Reference 3

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Unresolved cited work

Reference 4

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Observation b36d5791-6850-4dc4-b157-efb267080bb8 · outbound

This paper cites Hyperparam- eter optimization for machine learning models based on baye sian optimization.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Hyperparam- eter optimization for machine learning models based on baye sian optimization

Reference 5

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Source-reported events for the cited work

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Observation 0c28e992-6bcc-4f17-84cb-e846b15adf2f · outbound

This paper cites Mathern, O.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Mathern, O

Reference 6

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Source-reported events for the cited work

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Observation fc561832-f07d-479c-9bae-a20f64dd3fae · outbound

This paper cites Calandra, A.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Calandra, A

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ff40926a-1bd5-4447-abc0-4797f25c0059 · outbound

This paper cites Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 84ad9a5d-8532-4700-9967-2d2e15766fd8 · outbound

This paper cites On kernelized mu lti-armed bandits.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise On kernelized mu lti-armed bandits

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 5098be9b-30b5-4033-aee5-116c44c6ea6f · outbound

This paper cites Scalable thompson sampling using sparse gaussian process models.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Scalable thompson sampling using sparse gaussian process models

Reference 10

Resolution
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Source-reported events for the cited work

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Observation 824eaf74-4ea5-4b17-bf63-86ef4d05d6d6 · outbound

This paper cites On info rmation gain and regret bounds in gauss- ian process bandits.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise On info rmation gain and regret bounds in gauss- ian process bandits

Reference 11

Resolution
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Observation 899ee057-6bed-4a7e-81b2-63bc49b36fa4 · outbound

This paper cites Par- allelised bayesian optimisation via thompson sampling.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Par- allelised bayesian optimisation via thompson sampling

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation dab7c612-3801-419f-8119-cc81b4536865 · outbound

This paper cites Finite-Time Analysis of Kernelised Contextual Bandits.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Finite-Time Analysis of Kernelised Contextual Bandits

Reference 13

Resolution
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Source-reported events for the cited work

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This paper cites Bandit opt imisation of functions in the matérn kernel rkhs.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Bandit opt imisation of functions in the matérn kernel rkhs

Reference 14

Resolution
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d259a2cd-e7dd-4601-9417-1b41f57f1247 · outbound

This paper cites Efficient high dimensio nal bayesian optimization with additivity and quadrature fourier features.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Efficient high dimensio nal bayesian optimization with additivity and quadrature fourier features

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c323eb33-c4f1-4096-bfe0-0ec2a19825c2 · outbound

This paper cites Gaussian process optimization with adaptive sketching: Sc alable and no regret.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Gaussian process optimization with adaptive sketching: Sc alable and no regret

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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This paper cites Lower bounds on regret for noisy gaussian process bandit optimization.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Lower bounds on regret for noisy gaussian process bandit optimization

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation fbc9437c-a5ec-46a3-a04f-0b208d9f85df · outbound

This paper cites Convergence rates of efficient global optimi zation algorithms.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Convergence rates of efficient global optimi zation algorithms

Reference 18

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This paper cites Thompson sampling for c ontextual bandits with linear payoffs.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Thompson sampling for c ontextual bandits with linear payoffs

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0b181e40-6735-4d30-a9ad-c069623ababc · outbound

This paper cites On the Suboptimality of GP-UCB under Polynomial Effective Optimism.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise On the Suboptimality of GP-UCB under Polynomial Effective Optimism

Reference 20

Resolution
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Source-reported events for the cited work

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This paper cites Gaussian processes for machine learn- ing, volume 2.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Gaussian processes for machine learn- ing, volume 2

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Applied numerical linear algebra

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e7da5cc9-f1a1-4faf-83c1-8e962b43a599 · outbound

This paper cites Unifo rm error bounds for gaussian process regression with application to safe control.

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise Unifo rm error bounds for gaussian process regression with application to safe control

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.