Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial | Paper Citation Record

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This paper cites Looping in the Human: Collaborative and Explainable Bayesian Optimization.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Looping in the Human: Collaborative and Explainable Bayesian Optimization

Reference 1

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This paper cites Using Conﬁdence Bounds for Exploitation-Exploration Trade-offs.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Using Conﬁdence Bounds for Exploitation-Exploration Trade-offs

Reference 2

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This paper cites BoTorch: A framework for efﬁcient Monte-Carlo Bayesian optimization.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial BoTorch: A framework for efﬁcient Monte-Carlo Bayesian optimization

Reference 3

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Max-V alue Entropy Search for Multi-Objective Bayesian Optimization

Reference 4

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This paper cites Hyperopt: A Python Library for Optimizing the Hyperparam- eters of Machine Learning Algorithms.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Hyperopt: A Python Library for Optimizing the Hyperparam- eters of Machine Learning Algorithms

Reference 5

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Algorithms for Hyper-Parameter Optimization

Reference 6

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This paper cites R., Paolini, G.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial R., Paolini, G

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial 1974.tb00999.x

Reference 8

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A mobile robotic chemis t

Reference 9

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization

Reference 10

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Active learning accelerates the discovery of high strength and high ductility lead-free solder alloys

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This paper cites Bgolearn: a Unified Bayesian Optimization Framework for Accelerating Materials Discovery.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bgolearn: a Unified Bayesian Optimization Framework for Accelerating Materials Discovery

Reference 12

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This paper cites Spatial-adaptive active learning identiﬁes ultra-durable and highly active catalysts for acidic oxygen evolution reaction.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Spatial-adaptive active learning identiﬁes ultra-durable and highly active catalysts for acidic oxygen evolution reaction

Reference 13

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation

Reference 14

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This paper cites Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection

Reference 15

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This paper cites Language-Based Bayesian Optimization Research Assistant (BORA).

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Language-Based Bayesian Optimization Research Assistant (BORA)

Reference 16

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This paper cites On Serendipity in Science: Discovery at the Intersection of Chance and Wisdom.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial On Serendipity in Science: Discovery at the Intersection of Chance and Wisdom

Reference 17

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Reference 18

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This paper cites Bayesian Optimization Meets Bayesian Optimal Stopping.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Optimization Meets Bayesian Optimal Stopping

Reference 19

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial BOA T: Building Auto-Tuners with Structured Bayesian Optimization

Reference 20

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This paper cites Robust Multi-Objective Bayesian Optimization Under Input Noise.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Robust Multi-Objective Bayesian Optimization Under Input Noise

Reference 21

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial High-Dimensional Gaussian Process Bandits

Reference 22

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Structure Discovery in Nonparametric Regression through Compositional Kernel Search

Reference 23

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Scalable Global Optimization via Local Bayesian Optimization

Reference 24

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A Tutorial on Bayesian Optimization

Reference 25

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This paper cites Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization

Reference 26

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Optimization with Inequality Constraints

Reference 27

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Accelera- tion

Reference 28

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Optimization

Reference 29

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Kriging Is Well-Suited to Parallelize Optimiza- tion

Reference 30

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A Multi-points Criterion for Deterministic Par- allel Global Optimization Based on Gaussian Processes

Reference 31

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Decision Making in Medicinal Chemistry: The Power of Our Intuition

Reference 32

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial GLASSES: Relieving The Myopia Of Bayesian Opti- misation

Reference 33

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Batch Bayesian Optimization via Local Penalization

Reference 34

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

Reference 35

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Scale-Free Networks: Complex Webs in Nature and Technology

Reference 36

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge

Reference 37

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Reference 38

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial MCMC for V ariationally Sparse Gaussian Processes

Reference 39

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Scientiﬁc Method

Reference 40

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Decentralized High-Dimensional Bayesian Optimization With Factor Graphs

Reference 41

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Modular Mechanisms for Bayesian Optimization

Reference 42

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial In: Proc

Reference 43

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial ZINC20—A Free Ultralarge-Scale Chemical Database for Ligand Discovery

Reference 44

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Efficient Global Optimization of Expensive Black-Box Functions

Reference 45

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation

Reference 46

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This paper cites Contextual Gaussian Process Bandit Optimization.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Contextual Gaussian Process Bandit Optimization

Reference 47

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A Statistical Approach to Some Basic Mine V aluation Problems on the Witwatersrand

Reference 48

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?

Reference 49

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This paper cites Historical Structure of Scientiﬁc Discovery: To the Historian Discovery Is Seldom a Unit Event Attributable to Some Particular Man, Time, and Place.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Historical Structure of Scientiﬁc Discovery: To the Historian Discovery Is Seldom a Unit Event Attributable to Some Particular Man, Time, and Place

Reference 50

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Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Unresolved cited work

Reference 51

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

Observation 3aaa6ce2-1eec-41ab-abf6-982188ce7e08 · outbound

This paper cites A generalized probability density function for double-bounded random pro- cesses.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A generalized probability density function for double-bounded random pro- cesses

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.116510Z

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

Observation d42b71bf-6ce2-4de5-96d3-460724e2249f · outbound

This paper cites A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise

Reference 53

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.214065Z

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

Observation 5d0bb14b-ffa5-437e-963e-49478dad102f · outbound

This paper cites Bandit Algorithms.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bandit Algorithms

Reference 54

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.164874Z

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

Observation f49d5123-6163-463b-8b4b-8a1ee1267720 · outbound

This paper cites Sparse Spectrum Gaussian Process Regression.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Sparse Spectrum Gaussian Process Regression

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.111333Z

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 a835c16f-6c7d-4816-b6a3-ea5467dd9c56 · outbound

This paper cites Kaufmann, D.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Kaufmann, D

Reference 56

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

Observation 8505242a-dfdc-4d0c-9903-be4bf2d2c7c3 · outbound

This paper cites Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.107989Z

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 7e766564-e822-4ba3-933e-3058327713c3 · outbound

This paper cites Current Complexity: A Tool for Assessing the Complexity of Organic Molecules.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Current Complexity: A Tool for Assessing the Complexity of Organic Molecules

Reference 58

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.243970Z

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 8f07e827-e4b5-4b35-916e-c2b59d24f9bb · outbound

This paper cites Optimize the quantum yield of G-quartet-based circularly polarized luminescence materials via active learning strategy-BgoFace.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Optimize the quantum yield of G-quartet-based circularly polarized luminescence materials via active learning strategy-BgoFace

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.113199Z

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 e507218a-ffa4-44bb-aa2b-54411654dfbd · outbound

This paper cites npj Computational Materials , author =.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial npj Computational Materials , author =

Reference 60

Resolution: metadata mismatch; doi, observed 2026-05-13T22:08:20.216126Z

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

Observation 8f1b049d-d8ea-42c2-8e5a-447ebad5f93f · outbound

This paper cites Bayesian Epistemology.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Epistemology

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.103136Z

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 66bcc05a-1744-4fc6-8bfe-58d49f903104 · outbound

This paper cites Large Language Models to Enhance Bayesian Optimization.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Large Language Models to Enhance Bayesian Optimization

Reference 62

Resolution: malformed identifier; arxiv_id, observed 2026-05-13T22:08:20.670892Z

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

Observation 8bd22e93-5aae-45b0-897f-e79c49530955 · outbound

This paper cites Text Classiﬁcation Using String Kernels.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Text Classiﬁcation Using String Kernels

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.123528Z

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 a513bbc7-2043-449f-920b-ba68827bc932 · outbound

This paper cites Active learning in materials science with emphasis on adaptive sampling using uncer- tainties for targeted design.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Active learning in materials science with emphasis on adaptive sampling using uncer- tainties for targeted design

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.148596Z

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 24cb47bc-4451-45bc-abe2-5ecd508e1969 · outbound

This paper cites Self-driving labor atory for accelerated discovery of thin-ﬁlm materials.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Self-driving labor atory for accelerated discovery of thin-ﬁlm materials

Reference 65

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.212023Z

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 31c896e1-c2a7-4325-a955-85ca33f8eddd · outbound

This paper cites Sequential Large Language Model-Based Hyper-parameter Optimization.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Sequential Large Language Model-Based Hyper-parameter Optimization

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.197448Z

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 f2a2749a-7299-4500-aefc-0804c2a288c2 · outbound

This paper cites On the Bayes Methods for Seeking the Extremal Point.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial On the Bayes Methods for Seeking the Extremal Point

Reference 67

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.156337Z

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 1b0c4a52-9f3d-4843-a03b-62814e7061d2 · outbound

This paper cites BOSS: Bayesian Optimization over String Spaces.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial BOSS: Bayesian Optimization over String Spaces

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.090191Z

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 af95d899-e1c8-434e-b6df-59d7f443d9c1 · outbound

This paper cites PFNs4BO: In-Context Learning for Bayesian Optimization.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial PFNs4BO: In-Context Learning for Bayesian Optimization

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.098321Z

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 750993cb-8005-489d-9e85-953877c5efe4 · outbound

This paper cites Murphy.Machine Learning: A Probabilistic Perspective.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Murphy.Machine Learning: A Probabilistic Perspective

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.074912Z

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 27c84559-76ac-47f6-91f1-d89548cd3655 · outbound

This paper cites Balay, W.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Balay, W

Reference 71

Resolution: malformed identifier; doi_truncated, observed 2026-05-13T22:08:20.240101Z

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 4f137f4c-8af4-4910-a4a5-e1d611cfd4a3 · outbound

This paper cites Photocatalytic Water Splitting.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Photocatalytic Water Splitting

Reference 72

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.180297Z

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 1ebc20fe-f220-4017-a39e-cf78ebf2eb60 · outbound

This paper cites an unresolved cited work.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-05-13T22:08:21.069694Z

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 02cf7a6b-f8e2-4ceb-b758-7351e1f69fcb · outbound

This paper cites Bayesian Optimization: A Python Implementation of Global Optimization with Gaussian Processes.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Optimization: A Python Implementation of Global Optimization with Gaussian Processes

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.071426Z

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 9ac2c15a-7e39-43b9-b227-7f36e8fed657 · outbound

This paper cites Scikit-learn: Machine Learning in Python.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Scikit-learn: Machine Learning in Python

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.076573Z

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 d14dcfb5-5186-4e80-9758-7a7545f6dcaa · outbound

This paper cites Bayesian Optimization under Mixed Constraints with a Slack-V ariable Augmented La- grangian.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Optimization under Mixed Constraints with a Slack-V ariable Augmented La- grangian

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.083446Z

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 be3b7311-8801-4470-9401-6b7baa029af2 · outbound

This paper cites Data Science and Its Relationship to Big Data and Data-Driven Decision Making.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Data Science and Its Relationship to Big Data and Data-Driven Decision Making

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.250750Z

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 5587ef4c-1943-4bdd-a1a1-858e054a3440 · outbound

This paper cites Modern Bayesian Experimental Design.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Modern Bayesian Experimental Design

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.665993Z

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 6c8f3a76-9543-40e9-a8a7-ab0a4c9aae92 · outbound

This paper cites Bayesian Optimization of Catalysis With In-Context Learning.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Optimization of Catalysis With In-Context Learning

Reference 79

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:08:20.191361Z

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 4ea1c593-f70b-4cf9-9210-c227b6a51395 · outbound

This paper cites https://www.rdkit.org/.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial https://www.rdkit.org/

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.064161Z

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 4bc358bf-9905-4bb8-85e3-4cb113e9e296 · outbound

This paper cites A Tutorial on Thompson Sampling.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A Tutorial on Thompson Sampling

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.663634Z

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 02f2f430-d5b5-4604-8355-51469f46f2f6 · outbound

This paper cites Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.668413Z

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 b2b554b8-265a-4472-b5e9-f6eca0ad9d42 · outbound

This paper cites Scientiﬁc Discovery: That-Whats and What-Thats.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Scientiﬁc Discovery: That-Whats and What-Thats

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.256999Z

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 5e221bb7-2427-46a9-ad35-ec55ad226dce · outbound

This paper cites The Correlated Knowledge Gradient for Simulation Opti- mization of Continuous Parameters Using Gaussian Process Regression.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial The Correlated Knowledge Gradient for Simulation Opti- mization of Continuous Parameters Using Gaussian Process Regression

Reference 84

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.204638Z

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 e3726581-464c-48b9-9773-f32ced047605 · outbound

This paper cites Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.150418Z

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 fec86bc5-954a-4b9a-9099-5f27e2aee750 · outbound

This paper cites Student-t Processes as Alternatives to Gaussian Pro- cesses.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Student-t Processes as Alternatives to Gaussian Pro- cesses

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.126764Z

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 062d1f71-4190-4614-84d0-b3bc2f2680d9 · outbound

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

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Taking the human out of the loop: A review of Bayesian optimization

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:08:20.178187Z

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 d3c308ed-8b65-4d35-91b9-15258a4d71e7 · outbound

This paper cites Shields, Jason M.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Shields, Jason M

Reference 88

Resolution: metadata mismatch; doi, observed 2026-05-13T22:08:20.225768Z

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 678ff525-cd05-4289-acdb-38865047ce01 · outbound

This paper cites Accelerating Material Discovery with a Threshold-Driven Hybrid Acquisition Policy-Based Bayesian Optimization.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Accelerating Material Discovery with a Threshold-Driven Hybrid Acquisition Policy-Based Bayesian Optimization

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.118296Z

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 eb56b477-c229-4697-be84-c0c56ac81e87 · outbound

This paper cites Sparse Gaussian Processes Using Pseudo-inputs.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Sparse Gaussian Processes Using Pseudo-inputs

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.121901Z

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 803d579e-c651-4490-b90c-4db35a16d3b2 · outbound

This paper cites Warped Gaussian Processes.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Warped Gaussian Processes

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.125099Z

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 5a4a2007-14fd-4168-9521-9b8805a4dc77 · outbound

This paper cites JasperSnoek/spearmint.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial JasperSnoek/spearmint

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.106341Z

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 449b5c5c-745b-44b3-87d1-57350726765d · outbound

This paper cites Practical bayesian optimization of machine learning algorithms.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Practical bayesian optimization of machine learning algorithms

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.104772Z

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 ac40d292-c5fa-4da4-8126-d746a8d1a641 · outbound

This paper cites Bayesian Optimization with Robust Bayesian Neural Networks.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Optimization with Robust Bayesian Neural Networks

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.109680Z

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 65f8011a-a417-4bcd-9fe6-8afe3f02cc9e · outbound

This paper cites Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.128583Z

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 c2d23034-73f3-4ad2-bc91-88dad5df2d50 · outbound

This paper cites Srinivas, A.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Srinivas, A

Reference 96

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:08:20.228447Z

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 b21c7ef3-7dd5-469a-84e6-c50a57aa1583 · outbound

This paper cites A Non-myopic Utility Function for Statistical Global Optimization Algo- rithms.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial A Non-myopic Utility Function for Statistical Global Optimization Algo- rithms

Reference 97

Resolution: malformed identifier; raw_fallback, observed 2026-05-13T22:08:21.093429Z

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 54f20191-9b92-490c-9015-7d669467bc16 · outbound

This paper cites Is Organic Chemistry Really Growing Expo- nentially?.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Is Organic Chemistry Really Growing Expo- nentially?

Reference 98

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.202689Z

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 3df69dfa-6098-4a5e-b95d-a337e3970cb0 · outbound

This paper cites AI Molecular Catalysis: Where Are We Now?.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial AI Molecular Catalysis: Where Are We Now?

Reference 99

Resolution: verified exact; doi, observed 2026-05-13T22:08:20.252492Z

Source-reported events for the cited work

correction dated 2025-02-26. Source: crossref record 10.1039/d5qo90021b->10.1039/d4qo02363c:correction, observed 2026-07-11T03:03:40.607765+00:00. This notice travels one citation hop only.

Observation 93de4bf2-e9ad-4f81-8266-76374c966d52 · outbound

This paper cites Bayesian Uncertainty Estimation for Batch Normalized Deep Networks.

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial Bayesian Uncertainty Estimation for Batch Normalized Deep Networks

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-13T22:08:21.101577Z

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

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