Bayesian Optimization over Bounded Domains with the Beta Product Kernel | Paper Citation Record

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This paper cites Handbook of mathematical functions with formulas, graphs, and mathematical tables, volume 55.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Handbook of mathematical functions with formulas, graphs, and mathematical tables, volume 55

Reference 1

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This paper cites Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms

Reference 2

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This paper cites BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 3

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Bayesian Optimization over Bounded Domains with the Beta Product Kernel The second pascal recognising textual entailment challenge

Reference 4

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This paper cites Approximation beats concentration? an approximation view on inference with smooth radial kernels.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Approximation beats concentration? an approximation view on inference with smooth radial kernels

Reference 5

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This paper cites The fifth pascal recognizing textual entailment challenge.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel The fifth pascal recognizing textual entailment challenge

Reference 6

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This paper cites On lower bounds for standard and robust gaussian process bandit optimization.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel On lower bounds for standard and robust gaussian process bandit optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.754329Z

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This paper cites Beta kernel estimators for density functions.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Beta kernel estimators for density functions

Reference 8

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Bayesian Optimization over Bounded Domains with the Beta Product Kernel The pascal recognising textual entailment challenge

Reference 9

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Observation c3451373-ff56-472c-a781-5835b8420075 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Imagenet: A large-scale hierarchical image database

Reference 10

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

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This paper cites The global optimization problem: an introduction.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel The global optimization problem: an introduction

Reference 12

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This paper cites Automatically constructing a corpus of sentential paraphrases.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Automatically constructing a corpus of sentential paraphrases

Reference 13

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 14

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This paper cites Additive gaussian processes.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Additive gaussian processes

Reference 15

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Observation b6bb13c9-3b47-47e3-8e89-71c2e9beed10 · outbound

This paper cites Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.667948Z

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This paper cites The third pascal recognizing textual entailment challenge.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel The third pascal recognizing textual entailment challenge

Reference 17

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Observation 30ca3ff0-b1d9-4329-933d-c83764011fbb · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 18

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This paper cites scikit-optimize/scikit-optimize: v0.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel scikit-optimize/scikit-optimize: v0

Reference 19

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This paper cites Non-stationary spatial modeling.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Non-stationary spatial modeling

Reference 20

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Observation 6c4defb9-601d-4e16-b40e-e947071f17c0 · outbound

This paper cites Vanilla B ayesian optimization performs great in high dimensions.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Vanilla B ayesian optimization performs great in high dimensions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.620279Z

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This paper cites Probability product kernels.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Probability product kernels

Reference 22

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

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Efficient global optimization of expensive black-box functions

Reference 23

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

Bayesian Optimization over Bounded Domains with the Beta Product Kernel A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.585660Z

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This paper cites Experimental testing of advanced scatter search designs for global optimization of multimodal functions.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Experimental testing of advanced scatter search designs for global optimization of multimodal functions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.572093Z

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This paper cites Losparse: Structured compression of large language models based on low-rank and sparse approximation.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Losparse: Structured compression of large language models based on low-rank and sparse approximation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.558316Z

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Observation dda26888-5783-4ec7-b6bb-f1bda1561c3a · outbound

This paper cites A bayesian optimization framework for neural network compression.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel A bayesian optimization framework for neural network compression

Reference 27

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This paper cites Test functions for optimization needs.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Test functions for optimization needs

Reference 28

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This paper cites Spatial interpolation: an overview.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Spatial interpolation: an overview

Reference 29

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This paper cites Bock: Bayesian optimization with cylindrical kernels.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Bock: Bayesian optimization with cylindrical kernels

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.507565Z

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This paper cites Scrambling sobol'and niederreiter--xing points.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Scrambling sobol'and niederreiter--xing points

Reference 31

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This paper cites Nonstationary covariance functions for gaussian process regression.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Nonstationary covariance functions for gaussian process regression

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.486123Z

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Bayesian Optimization over Bounded Domains with the Beta Product Kernel Pytorch: An imperative style, high-performance deep learning library

Reference 33

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Bayesian Optimization over Bounded Domains with the Beta Product Kernel Scikit-learn: Machine learning in python

Reference 34

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Bayesian Optimization over Bounded Domains with the Beta Product Kernel Language models are unsupervised multitask learners

Reference 35

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This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 36

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Bayesian Optimization over Bounded Domains with the Beta Product Kernel Gaussian processes in machine learning

Reference 37

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Observation 3e4d0340-605e-43d0-8b66-707d318a7f29 · outbound

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Bayesian Optimization over Bounded Domains with the Beta Product Kernel Non-stationary spectral kernels

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.433916Z

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Observation 4dc0615a-64f0-4b96-8fd4-c2713da520f0 · outbound

This paper cites Approximation of eigenfunctions in kernel-based spaces.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Approximation of eigenfunctions in kernel-based spaces

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.421497Z

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Observation e182a5db-8ea8-4f92-a5a4-3bbf3c510cc5 · outbound

This paper cites Tight regret bounds for bayesian optimization in one dimension.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Tight regret bounds for bayesian optimization in one dimension

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.408898Z

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Observation bc5df0a1-1713-4b21-ba72-9e5700c3daa3 · outbound

This paper cites Lower bounds on regret for noisy gaussian process bandit optimization.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Lower bounds on regret for noisy gaussian process bandit optimization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.396566Z

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Observation c3694dfa-c4b4-4bb6-9de7-2b30886aeb96 · outbound

This paper cites Input warping for bayesian optimization of non-stationary functions.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Input warping for bayesian optimization of non-stationary functions

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.384284Z

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Observation 71cb1105-3473-4a7b-9a2d-d7a39f3c0994 · outbound

This paper cites On the distribution of points in a cube and the approximate evaluation of integrals.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel On the distribution of points in a cube and the approximate evaluation of integrals

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.371751Z

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Observation ec44e9ae-76ef-4c86-9c7a-0db1d763d025 · outbound

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

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Reference 44

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Bayesian Optimization over Bounded Domains with the Beta Product Kernel Interpolation of spatial data: some theory for kriging

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.358417Z

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Observation 2f0cd033-c9b0-48e5-abf0-f28a0c580e17 · outbound

This paper cites Improving Bayesian optimization for machine learning using expert priors.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Improving Bayesian optimization for machine learning using expert priors

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.344236Z

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Observation 5ecb7011-f962-45f1-a421-b97d882105dd · outbound

This paper cites On information gain and regret bounds in gaussian process bandits.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel On information gain and regret bounds in gaussian process bandits

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.331465Z

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Observation 03a5ef1d-1251-459d-a40a-68d652717e7d · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 48

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This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:09.131513Z

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This paper cites Gaussian processes for machine learning, volume 2.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Gaussian processes for machine learning, volume 2

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.318419Z

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Observation 966e9453-eb3d-417b-8d73-177c9e654428 · outbound

This paper cites Gaussian process kernels for pattern discovery and extrapolation.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel Gaussian process kernels for pattern discovery and extrapolation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.304792Z

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Observation 3adfb3e7-3093-4de5-8ce5-75d7f614e5b7 · outbound

This paper cites A corrected expected improvement acquisition function under noisy observations.

Bayesian Optimization over Bounded Domains with the Beta Product Kernel A corrected expected improvement acquisition function under noisy observations

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:57:09.291095Z

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