Bayesian Optimization for Intrinsically Noisy Response Surfaces
Fuente:
arXiv
Saved in:
| Main Author: | van Beek, Anton |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pseudo-Bayesian Optimal Designs for Fitting Fractional Polynomial Response Surface Models
by: Trinca, Luzia A., et al.
Published: (2025)
by: Trinca, Luzia A., et al.
Published: (2025)
Fully Bayesian Sequential Design for Mean Response Surface Prediction of Heteroscedastic Stochastic Simulations
by: Huang, Yuying, et al.
Published: (2025)
by: Huang, Yuying, et al.
Published: (2025)
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models
by: Marin, Santiago, et al.
Published: (2023)
by: Marin, Santiago, et al.
Published: (2023)
Hybrid Bayesian Smoothing on Surfaces
by: Hofkes, Matthew, et al.
Published: (2024)
by: Hofkes, Matthew, et al.
Published: (2024)
Adaptive Shrinkage with a Nonparametric Bayesian Lasso
by: Marin, Santiago, et al.
Published: (2024)
by: Marin, Santiago, et al.
Published: (2024)
Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
by: Sanyal, Nilotpal
Published: (2025)
by: Sanyal, Nilotpal
Published: (2025)
Temperature Optimization for Bayesian Deep Learning
by: Ng, Kenyon, et al.
Published: (2024)
by: Ng, Kenyon, et al.
Published: (2024)
Flexible Bayesian Modeling for Longitudinal Binary and Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2023)
by: Kang, Jizhou, et al.
Published: (2023)
Bayesian regression discontinuity design with unknown cutoff
by: Kowalska, Julia, et al.
Published: (2024)
by: Kowalska, Julia, et al.
Published: (2024)
Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability
by: Leadbetter, Ryan, et al.
Published: (2024)
by: Leadbetter, Ryan, et al.
Published: (2024)
Bayesian Optimization of Noisy Log-Likelihoods Evaluated by Particle Filters -- One Parameter Case --
by: Kitagawa, Genshiro
Published: (2026)
by: Kitagawa, Genshiro
Published: (2026)
Profile Bayesian Optimization for Expensive Computer Experiments
by: Kyger, Courtney, et al.
Published: (2025)
by: Kyger, Courtney, et al.
Published: (2025)
Stabilizing Thompson Sampling with Null Hypothesis Bayesian Response-Adaptive Randomization
by: Pawel, Samuel, et al.
Published: (2025)
by: Pawel, Samuel, et al.
Published: (2025)
Response Surface Designs for Crossed and Nested Multi-Stratum Structures
by: Trinca, Luzia A., et al.
Published: (2024)
by: Trinca, Luzia A., et al.
Published: (2024)
Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses
by: Kang, Xiaoning, et al.
Published: (2020)
by: Kang, Xiaoning, et al.
Published: (2020)
Bayesian survival analysis with INLA
by: Alvares, Danilo, et al.
Published: (2022)
by: Alvares, Danilo, et al.
Published: (2022)
Scalable skewed Bayesian inference for latent Gaussian models
by: Dutta, Shourya, et al.
Published: (2025)
by: Dutta, Shourya, et al.
Published: (2025)
Sparse Bayesian Multidimensional Item Response Theory
by: Li, Jiguang, et al.
Published: (2023)
by: Li, Jiguang, et al.
Published: (2023)
To MCMC or not to MCMC: Evaluating non-MCMC methods for Bayesian penalized regression
by: van Leeuwen, Florian D., et al.
Published: (2025)
by: van Leeuwen, Florian D., et al.
Published: (2025)
Collaborative Contextual Bayesian Optimization
by: Chang, Chih-Yu, et al.
Published: (2026)
by: Chang, Chih-Yu, et al.
Published: (2026)
Bayesian nonparametric modeling of dynamic pollution clusters through an autoregressive logistic-beta Stirling-gamma process
by: Marin, Santiago, et al.
Published: (2026)
by: Marin, Santiago, et al.
Published: (2026)
Bayesian Optimization for Personalized Dose-Finding Trials with Combination Therapies
by: Willard, James, et al.
Published: (2023)
by: Willard, James, et al.
Published: (2023)
A new avenue for Bayesian inference with INLA
by: van Niekerk, Janet, et al.
Published: (2022)
by: van Niekerk, Janet, et al.
Published: (2022)
Revisiting Bayesian Variable Selection via Optimization
by: Duan, Leo L
Published: (2026)
by: Duan, Leo L
Published: (2026)
Semi-Supervised Learning of Noisy Mixture of Experts Models
by: Kwon, Oh-Ran, et al.
Published: (2024)
by: Kwon, Oh-Ran, et al.
Published: (2024)
Bayesian Profile Regression with Linear Mixed Models (Profile-LMM) applied to Longitudinal Exposome Data
by: Amestoy, Matteo, et al.
Published: (2025)
by: Amestoy, Matteo, et al.
Published: (2025)
Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2024)
by: Kang, Jizhou, et al.
Published: (2024)
A Bayesian Sparse Kronecker Product Decomposition Framework for Tensor Predictors with Mixed-Type Responses
by: Wang, Shao-Hsuan, et al.
Published: (2025)
by: Wang, Shao-Hsuan, et al.
Published: (2025)
Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)
by: Li, Qiushuang, et al.
Published: (2025)
Computationally Scalable Bayesian SPDE Modeling for Censored Spatial Responses
by: Sahoo, Indranil, et al.
Published: (2024)
by: Sahoo, Indranil, et al.
Published: (2024)
IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis
by: Yang, Ke, et al.
Published: (2021)
by: Yang, Ke, et al.
Published: (2021)
Robust Bayesian Optimization via Tempered Posteriors
by: Li, Jiguang, et al.
Published: (2026)
by: Li, Jiguang, et al.
Published: (2026)
Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
by: Li, Dayi, et al.
Published: (2024)
by: Li, Dayi, et al.
Published: (2024)
Bayesian Stacking via Proper Scoring Rule Optimization using a Gibbs Posterior
by: Wadsworth, Spencer, et al.
Published: (2025)
by: Wadsworth, Spencer, et al.
Published: (2025)
Bayesian Optimization for Identification of Optimal Biological Dose Combinations in Personalized Dose-Finding Trials
by: Willard, James, et al.
Published: (2024)
by: Willard, James, et al.
Published: (2024)
Bridging Item Response Theory and Factor Analysis: A Four-Parameter Mixture-Dichotomized Model with Bayesian Estimation
by: Pavlech, Ján, et al.
Published: (2024)
by: Pavlech, Ján, et al.
Published: (2024)
Constructing Large Orthogonal Minimally Aliased Response Surface Designs by Concatenating Two Definitive Screening Designs
by: Vazquez, Alan R., et al.
Published: (2025)
by: Vazquez, Alan R., et al.
Published: (2025)
Bayesian clustering of multiple zero-inflated outcomes
by: Franzolini, Beatrice, et al.
Published: (2022)
by: Franzolini, Beatrice, et al.
Published: (2022)
De-Biasing the Bias: Methods for Improving Disparity Assessments with Noisy Group Measurements
by: Wastvedt, Solvejg, et al.
Published: (2024)
by: Wastvedt, Solvejg, et al.
Published: (2024)
Decomposition-Based Intrinsic Modeling of Shape-Constrained Functional Data
by: Kundu, Poorbita, et al.
Published: (2024)
by: Kundu, Poorbita, et al.
Published: (2024)
Similar Items
-
Pseudo-Bayesian Optimal Designs for Fitting Fractional Polynomial Response Surface Models
by: Trinca, Luzia A., et al.
Published: (2025) -
Fully Bayesian Sequential Design for Mean Response Surface Prediction of Heteroscedastic Stochastic Simulations
by: Huang, Yuying, et al.
Published: (2025) -
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models
by: Marin, Santiago, et al.
Published: (2023) -
Hybrid Bayesian Smoothing on Surfaces
by: Hofkes, Matthew, et al.
Published: (2024) -
Adaptive Shrinkage with a Nonparametric Bayesian Lasso
by: Marin, Santiago, et al.
Published: (2024)