Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:44:14.029793Z
Paper Citation Record · LEDGER
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling
As of 14 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2507.15138.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
85 of 85 outbound references displayed
- verified exact1
- verified fuzzy58
- unresolved24
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 17335fc6-a5d5-4f54-9462-b0a8e25c2bb8 · outbound
This paper cites Alvarez, Lorenzo Rosasco, and Neil D.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Alvarez, Lorenzo Rosasco, and Neil D
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c517b4ca-b39b-4226-9a55-42284c2f2e00 · outbound
This paper cites Bayesian optimization of composite functions.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Bayesian optimization of composite functions
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a15645e-0ba6-4f0f-bc58-3ff429c7df87 · outbound
This paper cites Using confidence bounds for exploitation-exploration trade-offs.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Using confidence bounds for exploitation-exploration trade-offs
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d33a5c1-eb4a-4616-ae29-1ac1dfe380be · outbound
This paper cites Schoellig, and Andreas Krause.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Schoellig, and Andreas Krause
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb76a9ca-3ece-4dc3-bc05-fa9966d3a100 · outbound
This paper cites Adversarially robust optimization with Gaussian processes.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Adversarially robust optimization with Gaussian processes
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 754d7bff-6ac8-4bf9-9f04-a64c6feb405d · outbound
This paper cites A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d692624e-d0cb-497b-adee-97cedba4d862 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0ba814f0-6edb-4058-b8dd-a8db0179392c · outbound
This paper cites Rates of convergence for sparse variational Gaussian process regression.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Rates of convergence for sparse variational Gaussian process regression
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cc759e75-6cc2-4b06-b2ed-70ba40d12942 · outbound
This paper cites Gaussian process optimization with adaptive sketching: Scalable and no regret.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Gaussian process optimization with adaptive sketching: Scalable and no regret
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0286a64e-5c73-431d-bcbb-43a6d1eb1b08 · outbound
This paper cites Cyclic hyperbolic Veech groups in finite area.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Cyclic hyperbolic Veech groups in finite area
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fe87b1cf-212e-47b9-beba-51dc861c292b · outbound
This paper cites Constantine, Eric Dow, and Qiqi Wang.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Constantine, Eric Dow, and Qiqi Wang
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fc9e7311-844f-4877-9d73-4ad5bff94c81 · outbound
This paper cites Lawrence.
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 200a4f43-3d42-4610-9a30-53f2dc9fdd66 · outbound
This paper cites Additive Gaussian processes.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Additive Gaussian processes
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d6915d40-c4d7-4952-9f40-05df32cecb8d · outbound
This paper cites Duvenaud.
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6a7671a6-b576-4808-a587-69a37d385e18 · outbound
This paper cites Kernel cookbook.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Kernel cookbook
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 272b724c-c8b4-4510-903d-482747b78bd9 · outbound
This paper cites Turner, and Matthias Poloczek.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Turner, and Matthias Poloczek
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cee0e0cb-4ea3-4121-b257-2e84e9e15ffb · outbound
This paper cites Hyperparameter Optimization: A Spectral Approach.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Hyperparameter Optimization: A Spectral Approach
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7abf3e69-8286-4a70-81bd-6245b5d16a31 · outbound
This paper cites Priors in Bayesian deep learning: A review.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Priors in Bayesian deep learning: A review
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1d8097f5-ccc8-4230-b404-f28773093d2d · outbound
This paper cites A Tutorial on Bayesian Optimization.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling A Tutorial on Bayesian Optimization
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39a5af55-9987-4d88-96ad-4e49b36fe5b9 · outbound
This paper cites A loss discounting framework for model averaging and selection in time series models.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling A loss discounting framework for model averaging and selection in time series models
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cbdebe84-7c88-4495-98e6-311c1df259a1 · outbound
This paper cites Weinberger, David Bindel, and Andrew G.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Weinberger, David Bindel, and Andrew G
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5fe909ab-26ec-432c-bf37-899da4f39ac4 · outbound
This paper cites Bayesian Optimization.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Bayesian Optimization
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b557cdb5-d649-4c7f-b6dc-6b3dbcf2c89d · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 031fe49d-8951-4586-85ab-15d36bf0a4de · outbound
This paper cites Batch Bayesian optimization via local penalization.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Batch Bayesian optimization via local penalization
Reference 24
- Resolution
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- raw_fallback, observed 2026-08-06T15:44:15.033141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 31c3069a-1042-4ffc-8aee-fc50b16093ee · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 25
- Resolution
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- raw_fallback, observed 2026-08-06T15:44:15.015113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 795b0d3a-a1b4-4872-ba99-ed9d58a39727 · outbound
This paper cites Completely derandomized self-adaptation in evolution strategies.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Completely derandomized self-adaptation in evolution strategies
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:15.001244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e969227e-e2ea-482c-8ddd-64491122b00c · outbound
This paper cites M¨ uller, and Petros Koumoutsakos.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling M¨ uller, and Petros Koumoutsakos
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.987945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 005e2002-c90a-483b-8435-aba76106861c · outbound
This paper cites Osborne, and Hans P.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Osborne, and Hans P
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0819c41c-3367-4571-ac7d-6adde5fbcd06 · outbound
This paper cites Lawrence.
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 59cd1abe-5d07-4655-89ba-5d501946cb77 · outbound
This paper cites Hoffman, and Zoubin Ghahramani.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Hoffman, and Zoubin Ghahramani
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8738d790-25bd-4567-8662-8c8c4a4298b2 · outbound
This paper cites Hoffman, Eric Brochu, and Nando de Freitas.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Hoffman, Eric Brochu, and Nando de Freitas
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 43cc9556-0347-4b7c-9621-2fa0e1097fd6 · outbound
This paper cites Hoffman, David M.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Hoffman, David M
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1eb753e7-82f7-4e77-baca-0f213aabd6c7 · outbound
This paper cites Jones, Matthias Schonlau, and William J.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Jones, Matthias Schonlau, and William J
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1cad1bbe-c871-4476-b723-64560683c467 · outbound
This paper cites Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21b7ddca-1f69-4701-8dc9-3daa106d92f9 · outbound
This paper cites Oliva, Jeff Schneider, and Barnabas Poczos.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Oliva, Jeff Schneider, and Barnabas Poczos
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9446c159-fcd6-461e-b521-2cf03595e6f1 · outbound
This paper cites Parallelised Bayesian optimisation via Thompson sampling.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Parallelised Bayesian optimisation via Thompson sampling
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fe67ebea-d1cb-466d-8b62-b4b4879dcb26 · outbound
This paper cites Auto-Encoding Variational Bayes.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Auto-Encoding Variational Bayes
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0826040f-ea27-4d4e-9523-c3bae82a4548 · outbound
This paper cites Adaptive Gaussian process bandits with heteroscedastic noise.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Adaptive Gaussian process bandits with heteroscedastic noise
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f06987ec-9dc6-4f29-ae87-69d856ec3325 · outbound
This paper cites Fast Bayesian optimization of machine learning hyperparameters on large datasets.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Fast Bayesian optimization of machine learning hyperparameters on large datasets
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.848556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4ad710e4-f4d3-4dce-a2a8-42c1226e02a7 · outbound
This paper cites Accurate uncertainties for deep learning using calibrated regression.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Accurate uncertainties for deep learning using calibrated regression
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 18f38383-a0cf-4305-bd20-73eb513a6965 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d53bb1b4-a58c-46dd-9c79-37e048ee7920 · outbound
This paper cites Le, Alex J.
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.805639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c5bd3666-adb0-4ebe-a47d-b2a45b310c3e · outbound
This paper cites Re-examining linear embeddings for high-dimensional Bayesian optimization.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Re-examining linear embeddings for high-dimensional Bayesian optimization
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.791191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1f7732be-b6c5-4748-97eb-ea42807c0013 · outbound
This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Hyperband: A novel bandit-based approach to hyperparameter optimization
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.777763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7ae4d8d2-a18b-4b99-8801-8f0cb1da5732 · outbound
This paper cites Gaussian process regression with het- eroscedastic residuals and exact marginal likelihood.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Gaussian process regression with het- eroscedastic residuals and exact marginal likelihood
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.764355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ef9c99dc-b584-48fb-880c-acdca6ffb7d5 · outbound
This paper cites Gaussian Processes for Machine Learning.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Gaussian Processes for Machine Learning
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.749941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 04eb1342-c00e-4b4d-b772-f7ad3d7f1712 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.736579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7dc080f9-7ce0-450c-bc31-9408f697251f · outbound
This paper cites Practical Bayesian optimiza- tion in the presence of outliers.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Practical Bayesian optimiza- tion in the presence of outliers
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.723007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 358c297f-1670-4478-acff-407d1ce4425b · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.709051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7222728f-1d13-4806-a5f3-0e721b733034 · outbound
This paper cites The application of Bayesian methods for seeking the extremum.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling The application of Bayesian methods for seeking the extremum
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.695306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6569b4b4-fa9d-4574-85aa-beddc2875a19 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.679796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f7746ebc-a05b-493a-a4e3-f8520aa1c73a · outbound
This paper cites Recent Advances in Bayesian Optimization.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Recent Advances in Bayesian Optimization
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.666315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f0a1db48-b478-4265-ab48-0e13086ecff0 · outbound
This paper cites Gaussian Process Approximation & Uncertainty Quantification for Scientific Machine Learning.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Gaussian Process Approximation & Uncertainty Quantification for Scientific Machine Learning
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.653327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6a1d8c7a-78e7-4beb-8da9-0822078a5056 · outbound
This paper cites Oakley and Anthony O’Hagan.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Oakley and Anthony O’Hagan
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.638959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 34c9a1ef-33b8-4964-bdd6-b7fe0a8c3453 · outbound
This paper cites Random features for large-scale kernel machines.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Random features for large-scale kernel machines
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.625503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4090c704-3939-449d-9fdd-0570dfc284c8 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.611079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 50869bdd-355b-4e60-b342-6f375e212b79 · outbound
This paper cites High-dimensional Bayesian optimization using low-dimensional feature spaces.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling High-dimensional Bayesian optimization using low-dimensional feature spaces
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.597313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7ac71d43-8903-487a-8956-bd2541879643 · outbound
This paper cites Learning to optimize via posterior sampling.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Learning to optimize via posterior sampling
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.583834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 438f06c5-3734-4bc5-a89c-9d92eec554af · outbound
This paper cites A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.569041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2fc4c7b4-f77d-466c-96b6-4cde95ea58f7 · outbound
This paper cites Gaussian processes for machine learning.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Gaussian processes for machine learning
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.554942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ff2b3283-d00c-487f-b6dc-c76a3cf9b3e3 · outbound
This paper cites Adams, and Nando De Freitas.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Adams, and Nando De Freitas
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.539803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 79a028f3-b8ef-40f1-8318-86138d7b2d73 · outbound
This paper cites Sparse Gaussian processes using pseudo-inputs.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Sparse Gaussian processes using pseudo-inputs
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.525560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 26990536-bdcf-43d1-a85f-91f081978586 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.510891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 135eb801-cd35-4a50-8173-bfddcaa1bdaa · outbound
This paper cites Scalable Bayesian opti- mization using deep neural networks.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Scalable Bayesian opti- mization using deep neural networks
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.495429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation aa3eac34-3717-42de-89c0-ff026763912f · outbound
This paper cites Bayesian optimization with robust Bayesian neural networks.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Bayesian optimization with robust Bayesian neural networks
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.481536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9c08e800-d8a3-49b8-bfe2-7dc47c459464 · outbound
This paper cites Kakade, and Matthias Seeger.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Kakade, and Matthias Seeger
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.468158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 324fdf54-3c40-4d11-9922-6a308f55bcc9 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.454500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 74ac2f62-30bf-4241-8e28-7140950cfb49 · outbound
This paper cites Stagewise safe Bayesian optimization with Gaussian processes.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Stagewise safe Bayesian optimization with Gaussian processes
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.441635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f37f09ce-c8d1-4f53-9ce9-a1853d43816c · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.427892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 934fb9d6-25a3-42a5-b865-389909617515 · outbound
This paper cites Teckentrup.
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.413366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9cc2a611-b4a1-4486-9480-9fb4eaa7d39d · outbound
This paper cites Variational learning of inducing variables in sparse Gaussian processes.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Variational learning of inducing variables in sparse Gaussian processes
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.399133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fa7a6a9c-212b-4708-b633-cb8729471ae8 · outbound
This paper cites Bayesian optimization is robust to noise.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Bayesian optimization is robust to noise
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.384678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 91d06b02-1ff6-4aac-85bd-4af4be316cb3 · outbound
This paper cites Information-theoretic regret bounds for Gaussian process optimization in the Bandit setting.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Information-theoretic regret bounds for Gaussian process optimization in the Bandit setting
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.371059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f6d1606e-a23f-418a-bd86-be4f851985b9 · outbound
This paper cites Uncertainty quantification with Gaussian processes.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Uncertainty quantification with Gaussian processes
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.356628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e13b0084-2815-40a4-859e-45440562f3ab · outbound
This paper cites Bayesian optimization in a billion dimensions via random embeddings.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Bayesian optimization in a billion dimensions via random embeddings
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.342417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 379ed453-65b4-4219-ac7e-770dfe3c7ec4 · outbound
This paper cites Optimization as Estimation with Gaussian Processes in Bandit Settings.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Optimization as Estimation with Gaussian Processes in Bandit Settings
Reference 76
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.328394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 072674b6-eaa6-4ff7-b1a9-dccf44275dfa · outbound
This paper cites Max-value entropy search for efficient Bayesian optimiza- tion.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Max-value entropy search for efficient Bayesian optimiza- tion
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.315063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 55684b7e-cb7d-4fef-8ab5-17d596e2b873 · outbound
This paper cites Batched large-scale Bayesian optimization in high-dimensional spaces.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Batched large-scale Bayesian optimization in high-dimensional spaces
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.300153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c9bf8eb5-c84e-4778-94c5-1d8b6d5b9033 · outbound
This paper cites Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression
Reference 79
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:44:14.075032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e782101b-8566-477e-9b46-9515daa7a56a · outbound
This paper cites Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.285827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 71d93353-d123-4fbe-b0cf-601e83f76021 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 81
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.269566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dc0adafe-9e32-40cc-8311-4717b539e655 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 82
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.255247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 66a2c3b8-7d87-45e7-9afe-191e7d570fc4 · outbound
This paper cites Gaussian process kernels for pattern discovery and extrapolation.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Gaussian process kernels for pattern discovery and extrapolation
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.240043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation da817447-7ab3-47fe-aa1d-ec3ca07d8805 · outbound
This paper cites an unresolved cited work.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Unresolved cited work
Reference 84
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:44:14.224882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8c924bfa-0719-4208-802a-1fe2d600d826 · outbound
This paper cites Frazier, and Andrew Gordon Wilson.
Adaptive Parameter Optimization in Gaussian Processes: A Comprehensive Study of Uncertainty Quantification and Dimensional Scaling Frazier, and Andrew Gordon Wilson
Reference 85
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:44:14.210973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.