Bayesian Optimization by Kernel Regression and Density-based Exploration | Paper Citation Record

Observation cb4c029b-dcff-49c3-9482-afeb2e39fd86 · outbound

This paper cites The continuum-armed bandit problem.

Bayesian Optimization by Kernel Regression and Density-based Exploration The continuum-armed bandit problem

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.350879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c3cae0f6-0a41-4d60-9524-f146609b22b6 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem.

Bayesian Optimization by Kernel Regression and Density-based Exploration Finite-time analysis of the multiarmed bandit problem

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.354981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b8d88b9-80b9-4a37-b099-c6b910372996 · outbound

This paper cites Continuous upper confidence trees with polynomial exploration–consistency.

Bayesian Optimization by Kernel Regression and Density-based Exploration Continuous upper confidence trees with polynomial exploration–consistency

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.587906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c4cd453e-597a-4aee-88c9-0ecf9b5ad71b · outbound

This paper cites Unifying count-based exploration and intrinsic motivation.

Bayesian Optimization by Kernel Regression and Density-based Exploration Unifying count-based exploration and intrinsic motivation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.343235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 34ee62c7-7486-4af5-b504-fb1f73a8a384 · outbound

This paper cites Global optimization via inverse distance weighting and radial basis functions.

Bayesian Optimization by Kernel Regression and Density-based Exploration Global optimization via inverse distance weighting and radial basis functions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.322295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d3ece278-524a-4980-ab19-d2d536b364a3 · outbound

This paper cites Algorithms for hyper-parameter optimiza- tion.

Bayesian Optimization by Kernel Regression and Density-based Exploration Algorithms for hyper-parameter optimiza- tion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.433389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 275c2dd4-faa1-455c-8fcd-571ea3e70c89 · outbound

This paper cites Random search for hyper-parameter optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration Random search for hyper-parameter optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.503326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d0143bcd-def1-4f63-94f7-20696dc3e98a · outbound

This paper cites Cora, and Nando de Freitas.A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning.

Bayesian Optimization by Kernel Regression and Density-based Exploration Cora, and Nando de Freitas.A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.525967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3273a572-aa6a-4b63-a8be-692caa19e7ef · outbound

This paper cites Pure exploration in finitely-armed and continuous-armed bandits.

Bayesian Optimization by Kernel Regression and Density-based Exploration Pure exploration in finitely-armed and continuous-armed bandits

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.410989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ebc40824-0e6e-438b-b45e-e82f150e3d67 · outbound

This paper cites Convergence rates of efficient global optimization algorithms.

Bayesian Optimization by Kernel Regression and Density-based Exploration Convergence rates of efficient global optimization algorithms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.375521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b566c934-708a-422e-ae3e-007221278ad8 · outbound

This paper cites A limited memory algorithm for bound con- strained optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration A limited memory algorithm for bound con- strained optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.363196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd891613-a65f-48b0-80f5-bb5f99caf622 · outbound

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

Bayesian Optimization by Kernel Regression and Density-based Exploration Gaussian process optimization with adaptive sketching: scalable and no regret

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.591753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18392df7-1ada-4e0c-a721-4529d76aa66a · outbound

This paper cites Simple regret for infinitely many armed bandits.

Bayesian Optimization by Kernel Regression and Density-based Exploration Simple regret for infinitely many armed bandits

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.459881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e44a1a8-0c9c-4034-b461-29a15ff67881 · outbound

This paper cites Bayesian experimental design: a review.

Bayesian Optimization by Kernel Regression and Density-based Exploration Bayesian experimental design: a review

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.444257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5fcb7fd2-350b-4d4b-abef-e0ad57eae0d4 · outbound

This paper cites Pseudo-Bayesian Optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration Pseudo-Bayesian Optimization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:17:30.814016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d412e107-7697-481d-9ac3-f2472e8d43d0 · outbound

This paper cites Modeling wine preferences by data mining from physicochemical properties.

Bayesian Optimization by Kernel Regression and Density-based Exploration Modeling wine preferences by data mining from physicochemical properties

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.407172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 47a36e12-56ae-45af-a706-31a0c3d39307 · outbound

This paper cites Contin- uous upper confidence trees.

Bayesian Optimization by Kernel Regression and Density-based Exploration Contin- uous upper confidence trees

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.448074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 67e75cda-05c0-4dd4-8b4b-1fe7124342cb · outbound

This paper cites Hebo: Pushing the limits of sample-efficient hyper-parameter optimisation.

Bayesian Optimization by Kernel Regression and Density-based Exploration Hebo: Pushing the limits of sample-efficient hyper-parameter optimisation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.452128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 38241125-5c55-4cc1-a261-d75989702f19 · outbound

This paper cites A statistical method for global optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration A statistical method for global optimization

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.383337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9dfd8dc1-6193-456d-b483-011c72451029 · outbound

This paper cites SDO: a statistical method for global optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration SDO: a statistical method for global optimization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.371519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 148dd7b1-1e7e-4a51-b3fb-e9e49c657f15 · outbound

This paper cites On point energies, separation radius and mesh norm for s-extremal configurations on compact sets in Rn.

Bayesian Optimization by Kernel Regression and Density-based Exploration On point energies, separation radius and mesh norm for s-extremal configurations on compact sets in Rn

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.511028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e82ace37-118e-4e02-95ae-beab5fcbaaeb · outbound

This paper cites Asynchronous decentral- ized Bayesian optimization for large scale hyperparameter optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration Asynchronous decentral- ized Bayesian optimization for large scale hyperparameter optimization

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.595959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6901d3e1-349a-4f17-8608-8a28d6b08c1b · outbound

This paper cites Scalable global optimization via local Bayesian optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration Scalable global optimization via local Bayesian optimization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.367557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1f7c92ef-68e8-4bba-8710-294c2692f212 · outbound

This paper cites New York, NY: Cambridge University Press.

Bayesian Optimization by Kernel Regression and Density-based Exploration New York, NY: Cambridge University Press

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.380099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e2774653-029a-45cb-b93c-57c60ce56dd7 · outbound

This paper cites An empirical case of Gaussian processes learning in high dimension: the likelihood versus leave-one-out rivalry.

Bayesian Optimization by Kernel Regression and Density-based Exploration An empirical case of Gaussian processes learning in high dimension: the likelihood versus leave-one-out rivalry

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.467467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 201ba96b-c3b7-4016-934d-63b93f23ef83 · outbound

This paper cites Phoenics: a Bayesian optimizer for chemistry.

Bayesian Optimization by Kernel Regression and Density-based Exploration Phoenics: a Bayesian optimizer for chemistry

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.518700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b29e43a9-c801-41ce-9924-6116972d5e33 · outbound

This paper cites MCMC for varia- tionally sparse Gaussian processes.

Bayesian Optimization by Kernel Regression and Density-based Exploration MCMC for varia- tionally sparse Gaussian processes

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.436961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 958eec38-af3a-4975-bfeb-6a85ffb02f34 · outbound

This paper cites Sequential model-based optimization for general algorithm configuration.

Bayesian Optimization by Kernel Regression and Density-based Exploration Sequential model-based optimization for general algorithm configuration

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.425977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5bc52575-d2db-47f7-b355-983be50a6a91 · outbound

This paper cites Parallel algorithm configuration.

Bayesian Optimization by Kernel Regression and Density-based Exploration Parallel algorithm configuration

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.577536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 94f58742-2030-4bfb-846d-e09886c0c34b · outbound

This paper cites Vanilla Bayesian optimization performs great in high di- mensions.

Bayesian Optimization by Kernel Regression and Density-based Exploration Vanilla Bayesian optimization performs great in high di- mensions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.395333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 843b9a43-011d-4238-852d-b23b11bd46c2 · outbound

This paper cites A literature survey of benchmark functions for global optimisation problems.

Bayesian Optimization by Kernel Regression and Density-based Exploration A literature survey of benchmark functions for global optimisation problems

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.471718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a00d0ee-a53a-407b-aa59-57ca2021d991 · outbound

This paper cites Scalable Bayesian optimization using Vecchia approximations of Gaus- sian processes.

Bayesian Optimization by Kernel Regression and Density-based Exploration Scalable Bayesian optimization using Vecchia approximations of Gaus- sian processes

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.422512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b302b2e3-0792-43e6-baf1-ad3d857e22af · outbound

This paper cites Efficient global optimization of expensive black-box functions.

Bayesian Optimization by Kernel Regression and Density-based Exploration Efficient global optimization of expensive black-box functions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.391084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3da516ae-9b06-4bc4-bbfb-cc7db5b1433c · outbound

This paper cites Kernel approximation: from regression to interpolation.

Bayesian Optimization by Kernel Regression and Density-based Exploration Kernel approximation: from regression to interpolation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.536879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 56c95861-9b22-459e-ba55-b2163baaa05d · outbound

This paper cites A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise.

Bayesian Optimization by Kernel Regression and Density-based Exploration A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.562624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 652f55f4-6cf0-4390-b52c-c713aac26518 · outbound

This paper cites Sequential adaptive designs in computer experiments for response surface model fit.

Bayesian Optimization by Kernel Regression and Density-based Exploration Sequential adaptive designs in computer experiments for response surface model fit

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.483046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 81af9d3f-bb55-429a-ab4f-f0b115b91278 · outbound

This paper cites Hyperband: a novel bandit-based approach to hyperparameter optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration Hyperband: a novel bandit-based approach to hyperparameter optimization

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.429652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e49fcb0-38c8-4eda-bba3-7a388113b5d4 · outbound

This paper cites Towards insensitivity of Nadaraya–Watson estimators to design correlation.

Bayesian Optimization by Kernel Regression and Density-based Exploration Towards insensitivity of Nadaraya–Watson estimators to design correlation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.399259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a23e464d-73f7-4849-b90d-5ff704e466ed · outbound

This paper cites When Gaussian process meets big data: a review of scalable GPs.

Bayesian Optimization by Kernel Regression and Density-based Exploration When Gaussian process meets big data: a review of scalable GPs

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.522324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e4658fd7-8006-4cc3-83b9-c69339dc9a7f · outbound

This paper cites Comparison of three methods for selecting values of input variables in the analysis of output from a computer code.

Bayesian Optimization by Kernel Regression and Density-based Exploration Comparison of three methods for selecting values of input variables in the analysis of output from a computer code

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.475673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 48718432-54e8-40d9-a40b-461962a80734 · outbound

This paper cites The application of Bayesian methods for seeking the extremum.

Bayesian Optimization by Kernel Regression and Density-based Exploration The application of Bayesian methods for seeking the extremum

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.455885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32ab5742-b17b-4efa-b64c-a774f6a7da07 · outbound

This paper cites Bayesian heuristic approach to global optimization and examples.

Bayesian Optimization by Kernel Regression and Density-based Exploration Bayesian heuristic approach to global optimization and examples

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.487087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a8977d7-668a-46a7-9e6b-e6845894edc5 · outbound

This paper cites Sequential adaptive design for emulating costly computer codes.

Bayesian Optimization by Kernel Regression and Density-based Exploration Sequential adaptive design for emulating costly computer codes

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.494994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b44b8c06-ac99-477c-a4d1-29d1111addad · outbound

This paper cites Cross-validation–based adaptive sampling for Gaussian process models.

Bayesian Optimization by Kernel Regression and Density-based Exploration Cross-validation–based adaptive sampling for Gaussian process models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.387082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 80ab5646-a42a-40ac-a190-b6721abadd13 · outbound

This paper cites Efficient high dimensional Bayesian optimization with additivity and quadrature Fourier features.

Bayesian Optimization by Kernel Regression and Density-based Exploration Efficient high dimensional Bayesian optimization with additivity and quadrature Fourier features

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.326652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9ddca419-ef59-4c70-93cb-54293045e5e9 · outbound

This paper cites On estimating regression.

Bayesian Optimization by Kernel Regression and Density-based Exploration On estimating regression

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.479411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e059b4da-c554-4256-8cc1-2828cf762de1 · outbound

This paper cites Batch Bayesian optimisation via density-ratio estimation with guarantees.

Bayesian Optimization by Kernel Regression and Density-based Exploration Batch Bayesian optimisation via density-ratio estimation with guarantees

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.515133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3c0677d7-bbcf-4787-a80c-2db56352550b · outbound

This paper cites Sparse spatial autoregressions.

Bayesian Optimization by Kernel Regression and Density-based Exploration Sparse spatial autoregressions

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.566368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c00c655a-f963-4a67-9bb6-b4b34ab3fb8d · outbound

This paper cites On estimation of a probability density function and mode.

Bayesian Optimization by Kernel Regression and Density-based Exploration On estimation of a probability density function and mode

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.540688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1c23a559-b590-4d37-8b30-d80e5b3129c9 · outbound

This paper cites A benchmark of kriging-based infill criteria for noisy optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration A benchmark of kriging-based infill criteria for noisy optimization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.440578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 99eb70ad-8434-4a0f-85f5-94e95c0e4116 · outbound

This paper cites an unresolved cited work.

Bayesian Optimization by Kernel Regression and Density-based Exploration Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-23T04:17:31.506957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c1f1354-4f3e-4849-8775-5e431db66b69 · outbound

This paper cites Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research.

Bayesian Optimization by Kernel Regression and Density-based Exploration Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness research

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.463793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3ad94fb4-7044-485f-b9e8-c7549547da7c · outbound

This paper cites GLISp-r: a preference-based optimization algorithm with convergence guarantees.

Bayesian Optimization by Kernel Regression and Density-based Exploration GLISp-r: a preference-based optimization algorithm with convergence guarantees

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.570153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 528c1b41-f2e5-4597-91f6-0bbf9a9b85e2 · outbound

This paper cites Ada-BKB: scalable Gaussian process op- timization on continuous domains by adaptive discretization.

Bayesian Optimization by Kernel Regression and Density-based Exploration Ada-BKB: scalable Gaussian process op- timization on continuous domains by adaptive discretization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.581096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ebc5be5b-6454-418c-b6d5-b6cfd5db7736 · outbound

This paper cites Remarks on some nonparametric estimates of a density function.

Bayesian Optimization by Kernel Regression and Density-based Exploration Remarks on some nonparametric estimates of a density function

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.358894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7dcc20f1-0fa7-40d3-8097-376d9977e7d4 · outbound

This paper cites Hoboken, NJ: John Wiley & Sons.

Bayesian Optimization by Kernel Regression and Density-based Exploration Hoboken, NJ: John Wiley & Sons

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.558934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c951ba56-fdfe-4de6-804a-0ebefdf775de · outbound

This paper cites Berlin, Heidelberg: Springer.

Bayesian Optimization by Kernel Regression and Density-based Exploration Berlin, Heidelberg: Springer

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.418595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b78a76e9-2545-41a2-8f7c-9baeac26cb40 · outbound

This paper cites New York, NY: Routledge.

Bayesian Optimization by Kernel Regression and Density-based Exploration New York, NY: Routledge

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.346964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac60d8be-fd66-45dd-9e72-9675338f30da · outbound

This paper cites Practical Bayesian optimization of machine learning algorithms.

Bayesian Optimization by Kernel Regression and Density-based Exploration Practical Bayesian optimization of machine learning algorithms

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.544496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aaf4987c-cbb7-4d22-932a-2c43b0ca1438 · outbound

This paper cites A general recipe for likelihood-free Bayesian optimization.

Bayesian Optimization by Kernel Regression and Density-based Exploration A general recipe for likelihood-free Bayesian optimization

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.414827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0ab8194e-a066-4b2e-a50d-0103444f6ef5 · outbound

This paper cites Gaussian process optimization in the bandit setting: no regret and experimental design.

Bayesian Optimization by Kernel Regression and Density-based Exploration Gaussian process optimization in the bandit setting: no regret and experimental design

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.403327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 35536e70-a100-4804-bcca-a65f815c8731 · outbound

This paper cites Scalable Bayesian optimization with generalized product of experts.

Bayesian Optimization by Kernel Regression and Density-based Exploration Scalable Bayesian optimization with generalized product of experts

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.330839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f25aa7c-f889-418e-97ce-2941a8bbf28a · outbound

This paper cites BORE: Bayesian optimization by density-ratio estimation.

Bayesian Optimization by Kernel Regression and Density-based Exploration BORE: Bayesian optimization by density-ratio estimation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.335332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 09c2bf58-418e-4a5a-a397-ab01ea190880 · outbound

This paper cites Variational learning of inducing variables in sparse Gaussian processes.

Bayesian Optimization by Kernel Regression and Density-based Exploration Variational learning of inducing variables in sparse Gaussian processes

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.548416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 271120be-2061-4b6e-ab1d-1ecdddf965f0 · outbound

This paper cites an unresolved cited work.

Bayesian Optimization by Kernel Regression and Density-based Exploration Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-05-23T04:17:31.555698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 204cb1d2-b31d-4d7c-9150-8f6c90a1be22 · outbound

This paper cites Optimal order simple regret for Gaussian process bandits.

Bayesian Optimization by Kernel Regression and Density-based Exploration Optimal order simple regret for Gaussian process bandits

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.552238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d64ed80-04b2-41aa-ba2a-5811d9825cda · outbound

This paper cites Convergence properties of the expected improvement algorithm with fixed mean and covariance functions.

Bayesian Optimization by Kernel Regression and Density-based Exploration Convergence properties of the expected improvement algorithm with fixed mean and covariance functions

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.584476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b67a18ca-1569-461e-b823-4ae09a741cbc · outbound

This paper cites an unresolved cited work.

Bayesian Optimization by Kernel Regression and Density-based Exploration Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-05-23T04:17:31.533166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5caa74ca-4038-4424-aaec-d7a28edfaa2a · outbound

This paper cites Exact Gaussian processes on a million data points.

Bayesian Optimization by Kernel Regression and Density-based Exploration Exact Gaussian processes on a million data points

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.491020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 46136b61-4123-4a08-8175-ac973bfc1893 · outbound

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

Bayesian Optimization by Kernel Regression and Density-based Exploration On the Suboptimality of GP-UCB under Polynomial Effective Optimism

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:17:30.823403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24e18d0b-7667-4d5f-9842-84d4b3ddd3f8 · outbound

This paper cites Smooth regression analysis.

Bayesian Optimization by Kernel Regression and Density-based Exploration Smooth regression analysis

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.529648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5bde21b2-d31f-4b3a-965e-3e70896df06c · outbound

This paper cites A novel class of stabilized greedy kernel approximation algorithms: convergence, stability and uniform point distribution.

Bayesian Optimization by Kernel Regression and Density-based Exploration A novel class of stabilized greedy kernel approximation algorithms: convergence, stability and uniform point distribution

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.573995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3829517-ccd1-4032-9f82-325c7a13840c · outbound

This paper cites Cambridge, MA: The MIT Press.

Bayesian Optimization by Kernel Regression and Density-based Exploration Cambridge, MA: The MIT Press

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.339440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a8edaa45-6bf5-47f2-bba4-66bdce4c9884 · outbound

This paper cites Monte Carlo tree search in continuous action spaces with execution uncertainty.

Bayesian Optimization by Kernel Regression and Density-based Exploration Monte Carlo tree search in continuous action spaces with execution uncertainty

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:17:31.499415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers