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Paper Citation Record · LEDGER

No-Regret Gaussian Process Optimization of Time-Varying Functions

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2512.00517.

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

pith.paper-citation-record.v1
2512.00517 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:33:06.958168Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 2890c86c-3ef2-4816-9de3-1197370b6a06 · outbound

This paper cites Agarwal, D.

No-Regret Gaussian Process Optimization of Time-Varying Functions Agarwal, D

Reference 1

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Observation fee37b65-431f-4337-9432-4ee0800f3529 · outbound

This paper cites https://berkeleyearth.org/high-resolution-data-access-page/, 2025.

No-Regret Gaussian Process Optimization of Time-Varying Functions https://berkeleyearth.org/high-resolution-data-access-page/, 2025

Reference 2

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Observation 43613869-8a41-443b-b054-e33508774b1d · outbound

This paper cites Blackwell , Equivalent comparisons of experiments , The Annals of Mathematical Statistics, (1953), pp.

No-Regret Gaussian Process Optimization of Time-Varying Functions Blackwell , Equivalent comparisons of experiments , The Annals of Mathematical Statistics, (1953), pp

Reference 3

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source=arxiv_source observed=2026-08-03T19:33:06.858275Z digest=sha256:10fffbc94622ee3864abad38b22382e7b0951d7ed066ef4e5585bf9107c6a715

Observation d6c4f204-ff28-49ee-b49b-3f7eacfd57cc · outbound

This paper cites Bogunovic, J.

No-Regret Gaussian Process Optimization of Time-Varying Functions Bogunovic, J

Reference 4

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Observation daf75515-711a-45db-a944-cfbef17e5adc · outbound

This paper cites Brunzema, A.

No-Regret Gaussian Process Optimization of Time-Varying Functions Brunzema, A

Reference 5

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Observation eb14ff68-a5aa-4116-b268-527affcc684b · outbound

This paper cites Bubeck, N.

No-Regret Gaussian Process Optimization of Time-Varying Functions Bubeck, N

Reference 6

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Observation 93370d18-b498-44ab-a409-759a73efe5e6 · outbound

This paper cites an unresolved cited work.

No-Regret Gaussian Process Optimization of Time-Varying Functions Unresolved cited work

Reference 7

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Observation e9cb9779-030e-4a31-9796-f09e5f3c76be · outbound

This paper cites Charpentier, R.

No-Regret Gaussian Process Optimization of Time-Varying Functions Charpentier, R

Reference 8

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Observation 85ffc3a3-9e33-45a0-8ea2-3958c1d4d2be · outbound

This paper cites an unresolved cited work.

No-Regret Gaussian Process Optimization of Time-Varying Functions Unresolved cited work

Reference 9

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Observation 0ae7e418-6394-4860-9d8f-06965b5ed521 · outbound

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No-Regret Gaussian Process Optimization of Time-Varying Functions Unresolved cited work

Reference 10

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No-Regret Gaussian Process Optimization of Time-Varying Functions Unresolved cited work

Reference 11

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Observation 0e18b4c4-52a9-455a-a9ee-149047a3260c · outbound

This paper cites Djolonga, A.

No-Regret Gaussian Process Optimization of Time-Varying Functions Djolonga, A

Reference 12

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Observation beb47265-1f7f-453f-8dcd-90b123223a48 · outbound

This paper cites Drineas, M.

No-Regret Gaussian Process Optimization of Time-Varying Functions Drineas, M

Reference 13

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Observation 28245de6-1ea1-445a-9b18-996a1049daac · outbound

This paper cites Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time.

No-Regret Gaussian Process Optimization of Time-Varying Functions Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time

Reference 14

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Observation 29c7a18c-7fb9-4753-a238-63a18cf305c8 · outbound

This paper cites Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance.

No-Regret Gaussian Process Optimization of Time-Varying Functions Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance

Reference 15

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Observation aa824e43-5b4e-413d-a65e-f0725947ee8f · outbound

This paper cites Kirschner and A.

No-Regret Gaussian Process Optimization of Time-Varying Functions Kirschner and A

Reference 16

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Observation 59ad7b79-98fc-409e-acba-c299a71b7806 · outbound

This paper cites Krause and C.

No-Regret Gaussian Process Optimization of Time-Varying Functions Krause and C

Reference 17

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Observation 7725cf54-7fa2-450b-9104-cc156d75747e · outbound

This paper cites Kulesza , Determinantal point processes for machine learning , Foundations and Trends in Machine Learning , 5 (2012), pp.

No-Regret Gaussian Process Optimization of Time-Varying Functions Kulesza , Determinantal point processes for machine learning , Foundations and Trends in Machine Learning , 5 (2012), pp

Reference 18

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Observation ce4df778-58b5-4514-a773-01226afdece5 · outbound

This paper cites Kulesza and B.

No-Regret Gaussian Process Optimization of Time-Varying Functions Kulesza and B

Reference 19

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Observation 71ea1453-1f5d-4218-89da-e19ece8b24fa · outbound

This paper cites Le Cam , On the information contained in additional observations , The Annals of Statistics, 2 (1974), pp.

No-Regret Gaussian Process Optimization of Time-Varying Functions Le Cam , On the information contained in additional observations , The Annals of Statistics, 2 (1974), pp

Reference 20

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Observation 1843afc7-6382-4f85-b4c9-ee6997de1610 · outbound

This paper cites A Tutorial on Sparse Gaussian Processes and Variational Inference.

No-Regret Gaussian Process Optimization of Time-Varying Functions A Tutorial on Sparse Gaussian Processes and Variational Inference

Reference 21

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Observation 37c18403-909d-4b78-bc23-1e6b7170f3ad · outbound

This paper cites Makarova, I.

No-Regret Gaussian Process Optimization of Time-Varying Functions Makarova, I

Reference 22

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Reference 23

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Observation 653e79e5-50a8-4b9f-827f-9450703c3dc0 · outbound

This paper cites Mauduit, E.

No-Regret Gaussian Process Optimization of Time-Varying Functions Mauduit, E

Reference 24

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Observation 8c03d133-7d3a-4605-a64c-c37ac95bd6ea · outbound

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No-Regret Gaussian Process Optimization of Time-Varying Functions Unresolved cited work

Reference 25

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Observation 3723dbca-313c-4e07-b725-e9fa5084ac4d · outbound

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No-Regret Gaussian Process Optimization of Time-Varying Functions Unresolved cited work

Reference 26

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Observation 7b0f75ec-d698-4600-9806-e58603ea2b9a · outbound

This paper cites Scarlett, I.

No-Regret Gaussian Process Optimization of Time-Varying Functions Scarlett, I

Reference 27

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Observation 30a1c36d-50fb-4758-88f1-dec4df4859aa · outbound

This paper cites An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation.

No-Regret Gaussian Process Optimization of Time-Varying Functions An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 28

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Observation 9441bed9-3116-435a-95f1-c34aaefa778a · outbound

This paper cites Scholkopf, K.

No-Regret Gaussian Process Optimization of Time-Varying Functions Scholkopf, K

Reference 29

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No-Regret Gaussian Process Optimization of Time-Varying Functions Slivkins et al

Reference 30

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Observation c55409a8-c945-480f-b74d-59bbe8e06675 · outbound

This paper cites Srinivas, A.

No-Regret Gaussian Process Optimization of Time-Varying Functions Srinivas, A

Reference 31

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Observation 55ba8d7a-aa01-4740-81d1-89f0d884c6d2 · outbound

This paper cites Zhou and N.

No-Regret Gaussian Process Optimization of Time-Varying Functions Zhou and N

Reference 32

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Observation 57aa32ea-af50-456e-8cb5-5385b817140b · outbound

This paper cites write newline.

No-Regret Gaussian Process Optimization of Time-Varying Functions write newline

Reference 33

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