Co-Learning Bayesian Optimization | Paper Citation Record

Observation 46cd6d68-e109-40f1-8f2c-8ff7b21ea386 · outbound

This paper cites Funneled bayesian optimization for design, tuning and control of autonomous systems,.

Co-Learning Bayesian Optimization Funneled bayesian optimization for design, tuning and control of autonomous systems,

Reference 1

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Observation 9ab018a5-ac62-4a69-88c3-8d1cf38ed493 · outbound

This paper cites Calibrated and recalibrated expected improvements for bayesian optimization,.

Co-Learning Bayesian Optimization Calibrated and recalibrated expected improvements for bayesian optimization,

Reference 2

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Observation da1d79ee-edf6-4bdf-bc89-5c179843df53 · outbound

This paper cites Research on metamodel-based global design optimization and data mining methods,.

Co-Learning Bayesian Optimization Research on metamodel-based global design optimization and data mining methods,

Reference 3

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Observation f2e8eec2-c9ff-4b7e-b5d9-11a34249a025 · outbound

This paper cites Feeling the shape: Active exploration behaviors for object recognition with a robotic hand,.

Co-Learning Bayesian Optimization Feeling the shape: Active exploration behaviors for object recognition with a robotic hand,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.853137Z

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Observation 9876818b-38e8-409e-b56f-1abc4ba59817 · outbound

This paper cites Multi-task bayesian optimization,.

Co-Learning Bayesian Optimization Multi-task bayesian optimization,

Reference 5

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Observation b4b32131-a5aa-4097-b15f-39b4b7040be7 · outbound

This paper cites Gaussian processes for machine learning (gpml) toolbox,.

Co-Learning Bayesian Optimization Gaussian processes for machine learning (gpml) toolbox,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.829768Z

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Observation 6676494c-bcfe-4091-8b5c-ed03d375f9e3 · outbound

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

Co-Learning Bayesian Optimization Efficient global optimization of expensive black-box functions,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.820044Z

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Observation 2c9bd6f6-60a8-4e6f-ae29-443931ce5f02 · outbound

This paper cites Fast calculation of multiobjective probability of improvement and expected improvement criteria for pareto optimization,.

Co-Learning Bayesian Optimization Fast calculation of multiobjective probability of improvement and expected improvement criteria for pareto optimization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.810246Z

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Observation 00a4651c-3d25-4e4d-92c0-da34f07cd920 · outbound

This paper cites Entropy search for information-efficient global optimization,.

Co-Learning Bayesian Optimization Entropy search for information-efficient global optimization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.800755Z

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Observation e58f6553-6e9b-4081-ac9e-37596cc32bfc · outbound

This paper cites The parallel knowledge gradient method for batch bayesian optimization,.

Co-Learning Bayesian Optimization The parallel knowledge gradient method for batch bayesian optimization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.791114Z

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Observation a2721b7c-ea7b-4fe7-a80d-4f2ad7ad6e29 · outbound

This paper cites A comparison of bayesian/sampling global optimization tech- niques,.

Co-Learning Bayesian Optimization A comparison of bayesian/sampling global optimization tech- niques,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.781697Z

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Observation 5d4018a2-b9e1-4f21-ae12-ebb6b640a49a · outbound

This paper cites Global optimization of stochastic black-box systems via sequential kriging meta-models,.

Co-Learning Bayesian Optimization Global optimization of stochastic black-box systems via sequential kriging meta-models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.772047Z

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Observation 47d08b2b-3635-469b-bcc0-6c2e7ec66366 · outbound

This paper cites Convergence rates of efficient global optimization algorithms,.

Co-Learning Bayesian Optimization Convergence rates of efficient global optimization algorithms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.760350Z

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Observation 54bb64e3-60e4-4871-b92f-4177d57e3cc3 · outbound

This paper cites Improving the expected improvement algorithm,.

Co-Learning Bayesian Optimization Improving the expected improvement algorithm,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.750205Z

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Observation f11f4e44-f41f-4e74-bf5a-098a5ec22962 · outbound

This paper cites Flexibility and efficiency enhancements for constrained global design optimization with kriging approximations,.

Co-Learning Bayesian Optimization Flexibility and efficiency enhancements for constrained global design optimization with kriging approximations,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.739963Z

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Observation 6b568ad6-a2d1-4e9d-9304-d70a2a5bd9b2 · outbound

This paper cites Taking the human out of the loop: A review of bayesian optimization,.

Co-Learning Bayesian Optimization Taking the human out of the loop: A review of bayesian optimization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.729263Z

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Observation 2d1150c2-dea8-44c4-96c6-80e192837792 · outbound

This paper cites A flexible transfer learning framework for bayesian optimization with convergence guarantee,.

Co-Learning Bayesian Optimization A flexible transfer learning framework for bayesian optimization with convergence guarantee,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.719663Z

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Observation da9be79c-cea6-4414-b876-5d1d70619a37 · outbound

This paper cites Generalizing transfer bayesian optimization to source- target heterogeneity,.

Co-Learning Bayesian Optimization Generalizing transfer bayesian optimization to source- target heterogeneity,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.709514Z

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Observation 87f40060-012d-462c-9b5e-cfd252c8b26c · outbound

This paper cites Multi-fidelity bayesian optimisation with continuous approximations,.

Co-Learning Bayesian Optimization Multi-fidelity bayesian optimisation with continuous approximations,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.699299Z

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Observation e7500652-6690-4170-9217-36a784665165 · outbound

This paper cites Analysis of dataset selection for multi-fidelity surrogates for a turbine problem,.

Co-Learning Bayesian Optimization Analysis of dataset selection for multi-fidelity surrogates for a turbine problem,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.689107Z

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Observation 606f4226-90a3-4427-b413-2e423445e124 · outbound

This paper cites Parallel multi-fidelity expected improvement method for efficient global optimization,.

Co-Learning Bayesian Optimization Parallel multi-fidelity expected improvement method for efficient global optimization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.678370Z

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Observation ed386652-8d2a-4340-af0e-99d3769cfcd7 · outbound

This paper cites Insights on transfer optimization: Because experience is the best teacher,.

Co-Learning Bayesian Optimization Insights on transfer optimization: Because experience is the best teacher,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.667289Z

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Observation 5606e70c-70a5-41a9-9c5c-a3e1490f9ee9 · outbound

This paper cites Multimodel-based incident predic- tion and risk assessment in dynamic cybersecurity protection for industrial control systems,.

Co-Learning Bayesian Optimization Multimodel-based incident predic- tion and risk assessment in dynamic cybersecurity protection for industrial control systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.657406Z

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Observation 08249df6-c72e-48f6-9a03-d9f2158c896e · outbound

This paper cites Multiproblem surrogates: transfer evolu- tionary multiobjective optimization of computationally expensive problems,.

Co-Learning Bayesian Optimization Multiproblem surrogates: transfer evolu- tionary multiobjective optimization of computationally expensive problems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.645890Z

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Observation 2ba0e544-2218-4a3a-9a84-657e8a56a722 · outbound

This paper cites Combining global and local sur- rogate models to accelerate evolutionary optimization,.

Co-Learning Bayesian Optimization Combining global and local sur- rogate models to accelerate evolutionary optimization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.634192Z

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Observation d0f04f0b-4c26-4e73-a6c3-ecf7750841cc · outbound

This paper cites Efficient global optimization algorithm assisted by multiple surrogate techniques,.

Co-Learning Bayesian Optimization Efficient global optimization algorithm assisted by multiple surrogate techniques,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.623428Z

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Observation 085fbd6a-8eb9-4199-b8a3-96bc565fe6af · outbound

This paper cites Contextual correlation preserving multiview featured graph clustering,.

Co-Learning Bayesian Optimization Contextual correlation preserving multiview featured graph clustering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.603082Z

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Observation 1caec7c6-01b9-4921-b45f-ae126efbf983 · outbound

This paper cites A Survey on Multi-view Learning.

Co-Learning Bayesian Optimization A Survey on Multi-view Learning

Reference 28

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Observation 8216ab09-c412-4607-88db-9961b1fd8954 · outbound

This paper cites When semi-supervised learning meets ensemble learning,.

Co-Learning Bayesian Optimization When semi-supervised learning meets ensemble learning,

Reference 29

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Observation fd2ebbbb-ef58-44c8-8ed3-62dfbc5b1c21 · outbound

This paper cites Neural network ensembles, cross validation, and active learning,.

Co-Learning Bayesian Optimization Neural network ensembles, cross validation, and active learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.580676Z

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Observation c0a7025e-e215-41c3-b1d6-be646e2549bf · outbound

This paper cites Local rademacher complex- ity: Sharper risk bounds with and without unlabeled samples,.

Co-Learning Bayesian Optimization Local rademacher complex- ity: Sharper risk bounds with and without unlabeled samples,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.568692Z

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Observation 8b6d2253-66bf-458e-a03b-c1229b79cc67 · outbound

This paper cites The value of agreement a new boosting algorithm,.

Co-Learning Bayesian Optimization The value of agreement a new boosting algorithm,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.557386Z

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Observation 1cf036fe-8cc2-4a86-89f1-3f0dd16ce727 · outbound

This paper cites Two view learning: Svm- 2k, theory and practice,.

Co-Learning Bayesian Optimization Two view learning: Svm- 2k, theory and practice,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.545401Z

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Observation ff30ad95-9e73-444e-acc7-7ad2a8af6afc · outbound

This paper cites Combining labeled and unlabeled data with co-training,.

Co-Learning Bayesian Optimization Combining labeled and unlabeled data with co-training,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.533930Z

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Observation 24ade63e-c7e3-42b6-80e1-8d3a3c287f7e · outbound

This paper cites The joint manifold model for semi-supervised multi-valued regression,.

Co-Learning Bayesian Optimization The joint manifold model for semi-supervised multi-valued regression,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.522077Z

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Observation da3b3a06-808f-4de5-b875-2c29a0a0f231 · outbound

This paper cites Democratic co-learning,.

Co-Learning Bayesian Optimization Democratic co-learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.511175Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0bfc55e7-2062-48e3-8cab-5e2b1f303298 · outbound

This paper cites Active learning with multiple views,.

Co-Learning Bayesian Optimization Active learning with multiple views,

Reference 37

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Source-reported events for the cited work

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Observation 9224934c-184c-40e1-9213-5de198be31ff · outbound

This paper cites Multi-task gaussian process prediction,.

Co-Learning Bayesian Optimization Multi-task gaussian process prediction,

Reference 38

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Source-reported events for the cited work

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Observation 7ceba4aa-6552-4ecb-9676-fdd3cee327dc · outbound

This paper cites Revisiting bayesian optimization in the light of the coco benchmark,.

Co-Learning Bayesian Optimization Revisiting bayesian optimization in the light of the coco benchmark,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.479211Z

Source-reported events for the cited work

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Observation 08596d0f-140e-4c9f-a952-460f63667f1e · outbound

This paper cites Kriging is well-suited to parallelize optimization,.

Co-Learning Bayesian Optimization Kriging is well-suited to parallelize optimization,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.467631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab213fe7-0ff3-475a-b544-01cf7018abfa · outbound

This paper cites Batch bayesian optimization via local penal- ization,.

Co-Learning Bayesian Optimization Batch bayesian optimization via local penal- ization,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.455071Z

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Observation 1b77b699-c89a-4616-8cc6-de39a747310a · outbound

This paper cites Schonlau and W.

Co-Learning Bayesian Optimization Schonlau and W

Reference 42

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Source-reported events for the cited work

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Observation 7d282beb-bc73-4066-9740-d041071c87ec · outbound

This paper cites Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models,.

Co-Learning Bayesian Optimization Clustered multiple generalized expected improvement: A novel infill sampling criterion for surrogate models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.432091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8767e5d5-57fa-4f98-8249-7e94edcd9d59 · outbound

This paper cites Exploration enhanced expected improve- ment for bayesian optimization,.

Co-Learning Bayesian Optimization Exploration enhanced expected improve- ment for bayesian optimization,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.421326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6d6c705-c63b-44ec-8061-2ce90b1f409f · outbound

This paper cites Remarks on multi-output gaussian process regression,.

Co-Learning Bayesian Optimization Remarks on multi-output gaussian process regression,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.410579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b111593e-f0df-4a67-86a3-9286fa8400aa · outbound

This paper cites Multi-task gaussian process models for biomedical applications,.

Co-Learning Bayesian Optimization Multi-task gaussian process models for biomedical applications,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.399685Z

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Observation cc6e47c4-e5bc-43cc-83ca-1752c58789cc · outbound

This paper cites A survey on transfer learning,.

Co-Learning Bayesian Optimization A survey on transfer learning,

Reference 47

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Source-reported events for the cited work

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Observation 0b6da252-e891-452c-adeb-a112069f6909 · outbound

This paper cites Evolutionary optimization of expensive multiobjective problems with co-sub-pareto front gaussian process surrogates,.

Co-Learning Bayesian Optimization Evolutionary optimization of expensive multiobjective problems with co-sub-pareto front gaussian process surrogates,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.382357Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d72fcec9-8936-4d74-b3b8-5b713d8261f8 · outbound

This paper cites Source-target similarity modelings for multi- source transfer gaussian process regression,.

Co-Learning Bayesian Optimization Source-target similarity modelings for multi- source transfer gaussian process regression,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.370740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28aa565a-4d68-4c46-9471-b25d5ddcc9d8 · outbound

This paper cites Curbing negative influences online for seamless transfer evolu- tionary optimization,.

Co-Learning Bayesian Optimization Curbing negative influences online for seamless transfer evolu- tionary optimization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.357901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e09c9748-afb9-4e2e-b877-973c8fa5e7c9 · outbound

This paper cites Pseudo expected improvement criterion for parallel ego algo- rithm,.

Co-Learning Bayesian Optimization Pseudo expected improvement criterion for parallel ego algo- rithm,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.346908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47167410-a2b5-4186-b26f-baf939159502 · outbound

This paper cites Practical bayesian optimization of machine learning algorithms,.

Co-Learning Bayesian Optimization Practical bayesian optimization of machine learning algorithms,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.335823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8135727-6f4c-4ec1-a76a-5732656a6396 · outbound

This paper cites GPyOpt: A bayesian optimization framework in python,.

Co-Learning Bayesian Optimization GPyOpt: A bayesian optimization framework in python,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.325290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0dd8a5a3-a281-4068-ae73-ead02f3c1e0d · outbound

This paper cites Max-value entropy search for efficient bayesian optimization,.

Co-Learning Bayesian Optimization Max-value entropy search for efficient bayesian optimization,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.314154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b3157aaa-2a3f-4bce-b592-4562f292c047 · outbound

This paper cites Virtual library of simulation experiments: Test functions and datasets,.

Co-Learning Bayesian Optimization Virtual library of simulation experiments: Test functions and datasets,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.302452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4db79a7c-9bca-42b1-977d-324899f407b1 · outbound

This paper cites Variable-fidelity expected improvement method for efficient global optimization of expensive functions,.

Co-Learning Bayesian Optimization Variable-fidelity expected improvement method for efficient global optimization of expensive functions,

Reference 56

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Co-Learning Bayesian Optimization Unresolved cited work

Reference 57

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This paper cites Airfoil Design Parameterization and Optimization using B\'ezier Generative Adversarial Networks.

Co-Learning Bayesian Optimization Airfoil Design Parameterization and Optimization using B\'ezier Generative Adversarial Networks

Reference 58

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This paper cites Hierarchical surrogate-assisted evolutionary multi-scenario airfoil shape optimization,.

Co-Learning Bayesian Optimization Hierarchical surrogate-assisted evolutionary multi-scenario airfoil shape optimization,

Reference 59

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This paper cites Xfoil: An analysis and design system for low reynolds number airfoils,.

Co-Learning Bayesian Optimization Xfoil: An analysis and design system for low reynolds number airfoils,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:17:59.254648Z

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