Direct Regret Optimization in Bayesian Optimization | Paper Citation Record

Observation 099f5c82-a1c2-42c7-a9fa-93e493119c48 · outbound

This paper cites Unexpected improvements to expected improvement for bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Unexpected improvements to expected improvement for bayesian optimization

Reference 1

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This paper cites Botorch: A framework for efficient monte-carlo bayesian opti- mization.

Direct Regret Optimization in Bayesian Optimization Botorch: A framework for efficient monte-carlo bayesian opti- mization

Reference 2

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This paper cites Random search for hyper-parameter optimization.

Direct Regret Optimization in Bayesian Optimization Random search for hyper-parameter optimization

Reference 3

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Observation d4149c47-6d1f-4cb4-b863-4adf712d8c87 · outbound

This paper cites Cora, and Nando De Freitas.

Direct Regret Optimization in Bayesian Optimization Cora, and Nando De Freitas

Reference 4

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Observation 1f6d1d27-c4a0-4d81-94ca-c2f7bd924f6c · outbound

This paper cites Bayesian opti- mization for policy search on robots.

Direct Regret Optimization in Bayesian Optimization Bayesian opti- mization for policy search on robots

Reference 5

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Observation b147287f-1ecb-4a74-bca0-b991b425c0dc · outbound

This paper cites Decision transformer: Reinforcement learning via sequence modeling.

Direct Regret Optimization in Bayesian Optimization Decision transformer: Reinforcement learning via sequence modeling

Reference 6

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Observation 05923111-858d-49b3-85db-e4dc5f6623c1 · outbound

This paper cites Towards learn- ing universal hyperparameter optimizers with transformers.

Direct Regret Optimization in Bayesian Optimization Towards learn- ing universal hyperparameter optimizers with transformers

Reference 7

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Observation 6e793f8c-edf1-47c7-8724-d16bc4db5b9b · outbound

This paper cites Meta-learning acquisition functions for bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Meta-learning acquisition functions for bayesian optimization

Reference 8

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Observation 0e68e1d0-7e19-48c2-aa29-74d54c0be2e2 · outbound

This paper cites Reinforcement learning based multi-step look-ahead bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Reinforcement learning based multi-step look-ahead bayesian optimization

Reference 9

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Observation 1bd8ea14-d61b-40ac-a899-c6718f79f94e · outbound

This paper cites EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization.

Direct Regret Optimization in Bayesian Optimization EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization

Reference 10

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Observation 9b665642-70bf-4c41-ad19-88bbe7a9e3c2 · outbound

This paper cites Combining multi- objective bayesian optimization with reinforcement learning for tinyml.

Direct Regret Optimization in Bayesian Optimization Combining multi- objective bayesian optimization with reinforcement learning for tinyml

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:24.102591Z

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Observation afbe90c0-c439-434d-b7ad-2171a0763dff · outbound

This paper cites Scal- able global optimization via local bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Scal- able global optimization via local bayesian optimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:24.091416Z

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Observation 2179f959-f4c8-418f-a3db-200bd5cb31d7 · outbound

This paper cites Scalable constrained bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Scalable constrained bayesian optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:24.081683Z

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Observation 6b8c091e-f1f6-496f-b2c2-064e5054292d · outbound

This paper cites Mvf–multivariate test functions library in c for uncon- strained global optimization.

Direct Regret Optimization in Bayesian Optimization Mvf–multivariate test functions library in c for uncon- strained global optimization

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:24.070104Z

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Observation f7622b61-b38a-4f34-b0f2-26aa17bfc938 · outbound

This paper cites Integrating parameter uncertainty into bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Integrating parameter uncertainty into bayesian optimization

Reference 15

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Observation 4db728b7-b476-464d-9485-753d38192c76 · outbound

This paper cites Rezende, S.

Direct Regret Optimization in Bayesian Optimization Rezende, S

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:24.048002Z

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Observation d7a8818f-92dc-414a-8da4-f09db5739061 · outbound

This paper cites Reinforced few-shot acquisition function learning for bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Reinforced few-shot acquisition function learning for bayesian optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:24.028179Z

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Observation 3eb244ae-e943-4b07-8a74-e67282704dba · outbound

This paper cites RLBOF: Reinforcement learning from bayesian optimization feedback.

Direct Regret Optimization in Bayesian Optimization RLBOF: Reinforcement learning from bayesian optimization feedback

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:24.017110Z

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Observation 6f1e4838-c79c-4cce-85b3-31a6090bbc2e · outbound

This paper cites Self-correcting bayesian opti- mization through bayesian active learning.

Direct Regret Optimization in Bayesian Optimization Self-correcting bayesian opti- mization through bayesian active learning

Reference 19

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Observation c7fbb387-aec5-41ec-937a-69228ec5af5a · outbound

This paper cites Jones, Matthias Schonlau, and William J.

Direct Regret Optimization in Bayesian Optimization Jones, Matthias Schonlau, and William J

Reference 20

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Observation 5478fa88-5182-4f26-aa1b-de8af5c50192 · outbound

This paper cites Oliva, Jeff Schneider, and Barnab ´as P´oczos.

Direct Regret Optimization in Bayesian Optimization Oliva, Jeff Schneider, and Barnab ´as P´oczos

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.987725Z

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Observation ff8eb08b-3b84-435d-9452-75ae21bc31c0 · outbound

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

Direct Regret Optimization in Bayesian Optimization Multi- fidelity bayesian optimisation with continuous approximations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.977863Z

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Observation 9aedab0e-a3dd-463f-8ed3-5146c10198f1 · outbound

This paper cites Predicting the output from a complex computer code when fast approximations are available.Biometrika, 87(1):1–13, 2000.

Direct Regret Optimization in Bayesian Optimization Predicting the output from a complex computer code when fast approximations are available.Biometrika, 87(1):1–13, 2000

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.960143Z

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Observation 286121a9-934c-4f11-bf5b-c6095bad33ca · outbound

This paper cites Attentive neural processes.

Direct Regret Optimization in Bayesian Optimization Attentive neural processes

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.950436Z

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Observation 62ca4244-90ec-4600-aa5a-29be41d6517c · outbound

This paper cites Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure.

Direct Regret Optimization in Bayesian Optimization Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure

Reference 25

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Observation 40595815-5b07-4d7b-8617-2eacbcfef0de · outbound

This paper cites Gaussian process bandit optimization with few batches.

Direct Regret Optimization in Bayesian Optimization Gaussian process bandit optimization with few batches

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.941028Z

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Observation 6991003b-4d5c-40f8-b77c-2a67b3a530b0 · outbound

This paper cites Robust Bayesian optimization with reinforcement learned acquisition functions.

Direct Regret Optimization in Bayesian Optimization Robust Bayesian optimization with reinforcement learned acquisition functions

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:07:23.607658Z

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Observation f96504b5-6e2e-4196-8cbd-cc9b7cacffdd · outbound

This paper cites End-to-end meta-bayesian optimisation with transformer neural processes.

Direct Regret Optimization in Bayesian Optimization End-to-end meta-bayesian optimisation with transformer neural processes

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.931339Z

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Observation deb4013f-7ab7-43da-9f8b-ebaba0a784c6 · outbound

This paper cites Pfns4bo: In-context learning for bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Pfns4bo: In-context learning for bayesian optimization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.921661Z

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Observation d742a201-9ede-4826-ac13-c0fa3a5eb3c9 · outbound

This paper cites Transformers Can Do Bayesian Inference.

Direct Regret Optimization in Bayesian Optimization Transformers Can Do Bayesian Inference

Reference 30

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Observation 0ba1629c-1c28-45f5-b0cb-cc84f57e7ea9 · outbound

This paper cites Statistical foundations of prior-data fitted networks.

Direct Regret Optimization in Bayesian Optimization Statistical foundations of prior-data fitted networks

Reference 31

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Observation 1bfca217-cc9b-44aa-a9f8-537914722c4e · outbound

This paper cites Regret for expected improvement over the best-observed value and stopping condition.

Direct Regret Optimization in Bayesian Optimization Regret for expected improvement over the best-observed value and stopping condition

Reference 32

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Observation 649418e6-7a68-4f82-af8e-cf960f0291b1 · outbound

This paper cites Yahpo gym-an efficient multi-objective multi-fidelity benchmark for hyperparameter optimization.

Direct Regret Optimization in Bayesian Optimization Yahpo gym-an efficient multi-objective multi-fidelity benchmark for hyperparameter optimization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.890346Z

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This paper cites an unresolved cited work.

Direct Regret Optimization in Bayesian Optimization Unresolved cited work

Reference 34

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Observation 17f79bf5-90c3-4ee8-bc67-34cca6d455e8 · outbound

This paper cites Adams, and Nando de Freitas.

Direct Regret Optimization in Bayesian Optimization Adams, and Nando de Freitas

Reference 35

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Observation b94fac94-5cc2-4b86-87fd-f6c1ee25743b · outbound

This paper cites an unresolved cited work.

Direct Regret Optimization in Bayesian Optimization Unresolved cited work

Reference 36

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Observation b9232736-31ef-43f9-bbfb-2232083642f9 · outbound

This paper cites Kakade, and Matthias W.

Direct Regret Optimization in Bayesian Optimization Kakade, and Matthias W

Reference 37

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Observation 78fba95d-de0e-4fbc-95bf-df201c76d295 · outbound

This paper cites Amortized bayesian optimization over discrete spaces.

Direct Regret Optimization in Bayesian Optimization Amortized bayesian optimization over discrete spaces

Reference 38

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Observation c2f08d3b-5ed3-48b2-b954-200ffd4931c5 · outbound

This paper cites Multi-fidelity active learning with max-value entropy search.

Direct Regret Optimization in Bayesian Optimization Multi-fidelity active learning with max-value entropy search

Reference 39

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Observation b60d3bfd-e26f-49d5-a161-adc280ba1fb6 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Direct Regret Optimization in Bayesian Optimization Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 40

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Observation 72bb5a6e-2dcd-45c0-b485-73eb93d16c9c · outbound

This paper cites Sample-efficient opti- mization in the latent space of deep generative models via weighted retraining.

Direct Regret Optimization in Bayesian Optimization Sample-efficient opti- mization in the latent space of deep generative models via weighted retraining

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.808851Z

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Observation 19ae39ac-8c32-4d39-9b2e-99c734ef5cba · outbound

This paper cites Scalable gaussian process- based bayesian optimization ensembles.

Direct Regret Optimization in Bayesian Optimization Scalable gaussian process- based bayesian optimization ensembles

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.798568Z

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Observation a09b512f-16e4-4ada-8f80-11726cc41372 · outbound

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

Direct Regret Optimization in Bayesian Optimization Constrained efficient global optimization of expensive black-box functions

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.787879Z

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Observation 7de463da-6f63-4d9d-88b9-a5ac439b452d · outbound

This paper cites Robust multi-fidelity bayesian opti- mization with deep kernel and partition.

Direct Regret Optimization in Bayesian Optimization Robust multi-fidelity bayesian opti- mization with deep kernel and partition

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.777744Z

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Observation 068068e2-a872-4161-84d2-2ff06bfaf434 · outbound

This paper cites Bowden, Alexander Ladd, Yisong Yue, Thomas De- sautels, and Yuxin Chen.

Direct Regret Optimization in Bayesian Optimization Bowden, Alexander Ladd, Yisong Yue, Thomas De- sautels, and Yuxin Chen

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.766990Z

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Observation a36c2935-7b11-4ffd-86c0-43dbd1568daf · outbound

This paper cites Finding interior optimum of black-box con- strained objective with bayesian optimization.

Direct Regret Optimization in Bayesian Optimization Finding interior optimum of black-box con- strained objective with bayesian optimization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.756148Z

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Observation 0e99cfd8-97e0-49c5-bc5b-a525fc7dbcb8 · outbound

This paper cites Learning Regions of Interest.

Direct Regret Optimization in Bayesian Optimization Learning Regions of Interest

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.745908Z

Source-reported events for the cited work

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Observation 7fcbdff3-b74a-4e1f-a4ef-0b4647d514d2 · outbound

This paper cites This allows for capturing model uncertainty for all unknown functions.

Direct Regret Optimization in Bayesian Optimization This allows for capturing model uncertainty for all unknown functions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.735002Z

Source-reported events for the cited work

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Observation b90f1bce-e0d7-46e3-af63-be0ffbb4c358 · outbound

This paper cites This can 16 be achieved by adapting ROI identification strategies from constrained Bayesian optimiza- tion (CBO) literature, such as the approach in Zhang et al.

Direct Regret Optimization in Bayesian Optimization This can 16 be achieved by adapting ROI identification strategies from constrained Bayesian optimiza- tion (CBO) literature, such as the approach in Zhang et al

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.724423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01652be1-338c-4e80-b898-bdb17abb8bbc · outbound

This paper cites an unresolved cited work.

Direct Regret Optimization in Bayesian Optimization Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:07:23.714189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e5d9814c-a59d-4d66-b6a1-fb14abb2dc93 · outbound

This paper cites an unresolved cited work.

Direct Regret Optimization in Bayesian Optimization Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:07:23.704027Z

Source-reported events for the cited work

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Observation 6019ef6d-e5ba-4f0e-ada8-0817f6be8453 · outbound

This paper cites This conceptual extension enables DRO to learn a non-myopic policy that navigates the trade-offs inherent in constrained optimization.

Direct Regret Optimization in Bayesian Optimization This conceptual extension enables DRO to learn a non-myopic policy that navigates the trade-offs inherent in constrained optimization

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.693373Z

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Observation 74c71801-b40c-4025-a2e6-8c3bbe37bda3 · outbound

This paper cites Each GP(f ) m is trained on data observed at fidelity f.

Direct Regret Optimization in Bayesian Optimization Each GP(f ) m is trained on data observed at fidelity f

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.682816Z

Source-reported events for the cited work

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Observation 4c173a00-cb64-4279-9bfa-ced2ea8db99b · outbound

This paper cites For instance, drawing inspiration from methods like those in Zhang et al.

Direct Regret Optimization in Bayesian Optimization For instance, drawing inspiration from methods like those in Zhang et al

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.672581Z

Source-reported events for the cited work

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Observation 482ca3c5-abf8-4663-b16d-f229652398dc · outbound

This paper cites an unresolved cited work.

Direct Regret Optimization in Bayesian Optimization Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:07:23.661918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e0d43b45-5324-40f1-b6d3-d192b4796d5e · outbound

This paper cites • Current cumulative cost and remaining budget (if applicable).

Direct Regret Optimization in Bayesian Optimization • Current cumulative cost and remaining budget (if applicable)

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.650998Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation df94a507-563c-4574-a46e-279663b79f1d · outbound

This paper cites The Bayesian early stopping criterion might be adapted to consider the cost-benefit of continuing a roll- out.

Direct Regret Optimization in Bayesian Optimization The Bayesian early stopping criterion might be adapted to consider the cost-benefit of continuing a roll- out

Reference 59

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T19:07:23.640387Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 586ca96e-1b7a-421a-bd74-af32ee15dff7 · outbound

This paper cites an unresolved cited work.

Direct Regret Optimization in Bayesian Optimization Unresolved cited work

Reference 2017

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:07:23.969009Z

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Observation 8552e1b0-c0a3-4bec-ac4f-1299373e9df6 · outbound

This paper cites Seminal paper on applying BO to hyperparameter tuning; discusses practical aspects including handling GP hyperparameters (e.g., MCMC integration mentioned).

Direct Regret Optimization in Bayesian Optimization Seminal paper on applying BO to hyperparameter tuning; discusses practical aspects including handling GP hyperparameters (e.g., MCMC integration mentioned)

Reference 2959

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:07:23.848968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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