Voronoi Candidates for Bayesian Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Wycoff, Nathan, Smith, John W., Booth, Annie S., Gramacy, Robert B. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization
by: Wycoff, Nathan
Published: (2025)
by: Wycoff, Nathan
Published: (2025)
Regression Trees Know Calculus
by: Wycoff, Nathan
Published: (2024)
by: Wycoff, Nathan
Published: (2024)
Formal Bayesian Transfer Learning via the Total Risk Prior
by: Wycoff, Nathan, et al.
Published: (2025)
by: Wycoff, Nathan, et al.
Published: (2025)
A Probabilistic Basis for Low-Rank Matrix Learning
by: Segert, Simon, et al.
Published: (2025)
by: Segert, Simon, et al.
Published: (2025)
Active Subspaces in Infinite Dimension
by: Kundu, Poorbita, et al.
Published: (2025)
by: Kundu, Poorbita, et al.
Published: (2025)
Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments
by: Cooper, Andrew, et al.
Published: (2025)
by: Cooper, Andrew, et al.
Published: (2025)
Contour Location for Reliability in Airfoil Simulation Experiments using Deep Gaussian Processes
by: Booth, Annie S., et al.
Published: (2023)
by: Booth, Annie S., et al.
Published: (2023)
Nonstationary Gaussian Process Surrogates
by: Booth, Annie S., et al.
Published: (2023)
by: Booth, Annie S., et al.
Published: (2023)
Proximal Iteration for Nonlinear Adaptive Lasso
by: Wycoff, Nathan, et al.
Published: (2024)
by: Wycoff, Nathan, et al.
Published: (2024)
H-AddiVortes: Heteroscedastic (Bayesian) Additive Voronoi Tessellations
by: Stone, Adam J., et al.
Published: (2025)
by: Stone, Adam J., et al.
Published: (2025)
Gaussian Process Assisted Meta-learning for Image Classification and Object Detection Models
by: Flowers, Anna R., et al.
Published: (2025)
by: Flowers, Anna R., et al.
Published: (2025)
Modular Jump Gaussian Processes
by: Flowers, Anna R., et al.
Published: (2025)
by: Flowers, Anna R., et al.
Published: (2025)
Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
by: Stone, Adam J., et al.
Published: (2025)
by: Stone, Adam J., et al.
Published: (2025)
Stochastic Voronoi Ensembles for Anomaly Detection
by: Cao, Yang, et al.
Published: (2026)
by: Cao, Yang, et al.
Published: (2026)
Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
by: Fan, Donney, et al.
Published: (2026)
by: Fan, Donney, et al.
Published: (2026)
Active Learning of Piecewise Gaussian Process Surrogates
by: Park, Chiwoo, et al.
Published: (2023)
by: Park, Chiwoo, et al.
Published: (2023)
Neural Approximation of Generalized Voronoi Diagrams
by: Rigas, Panagiotis, et al.
Published: (2026)
by: Rigas, Panagiotis, et al.
Published: (2026)
Approximation-Aware Bayesian Optimization
by: Maus, Natalie, et al.
Published: (2024)
by: Maus, Natalie, et al.
Published: (2024)
Actively Learning Joint Contours of Multiple Computer Experiments
by: Prim, Shih-Ni, et al.
Published: (2025)
by: Prim, Shih-Ni, et al.
Published: (2025)
A Method for Auto-Differentiation of the Voronoi Tessellation
by: Shumilin, Sergei, et al.
Published: (2023)
by: Shumilin, Sergei, et al.
Published: (2023)
Wasserstein approximation schemes based on Voronoi partitions
by: Hamm, Keaton, et al.
Published: (2023)
by: Hamm, Keaton, et al.
Published: (2023)
Scaffold-Based Multi-Objective Drug Candidate Optimization
by: Kruel, Agustin, et al.
Published: (2022)
by: Kruel, Agustin, et al.
Published: (2022)
Analog Physical Systems Can Exhibit Double Descent
by: Dillavou, Sam, et al.
Published: (2025)
by: Dillavou, Sam, et al.
Published: (2025)
Towards Multimodal Representation Learning in Paediatric Kidney Disease
by: Durica, Ana, et al.
Published: (2025)
by: Durica, Ana, et al.
Published: (2025)
Geometry-Aware Probabilistic Circuits via Voronoi Tessellations
by: Sidheekh, Sahil, et al.
Published: (2026)
by: Sidheekh, Sahil, et al.
Published: (2026)
Variation Due to Regularization Tractably Recovers Bayesian Deep Learning
by: McInerney, James, et al.
Published: (2024)
by: McInerney, James, et al.
Published: (2024)
Direct Regret Optimization in Bayesian Optimization
by: Zhang, Fengxue, et al.
Published: (2025)
by: Zhang, Fengxue, et al.
Published: (2025)
Pseudo-Bayesian Optimization
by: Chen, Haoxian, et al.
Published: (2023)
by: Chen, Haoxian, et al.
Published: (2023)
High dimensional Bayesian Optimization via Condensing-Expansion Projection
by: Lu, Jiaming, et al.
Published: (2024)
by: Lu, Jiaming, et al.
Published: (2024)
Differentially Private Hyperparameter Tuning using Local Bayesian Optimization
by: Sopa, Getoar, et al.
Published: (2025)
by: Sopa, Getoar, et al.
Published: (2025)
Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization
by: Xiao, Renjie, et al.
Published: (2026)
by: Xiao, Renjie, et al.
Published: (2026)
Learning Relevant Contextual Variables Within Bayesian Optimization
by: Martinelli, Julien, et al.
Published: (2023)
by: Martinelli, Julien, et al.
Published: (2023)
Persistent Homology as Stopping-Criterion for Voronoi Interpolation
by: Melodia, Luciano, et al.
Published: (2019)
by: Melodia, Luciano, et al.
Published: (2019)
Bayesian Optimization via Continual Variational Last Layer Training
by: Brunzema, Paul, et al.
Published: (2024)
by: Brunzema, Paul, et al.
Published: (2024)
Simulated Annealing-based Candidate Optimization for Batch Acquisition Functions
by: Alvi, Sk Md Ahnaf Akif, et al.
Published: (2026)
by: Alvi, Sk Md Ahnaf Akif, et al.
Published: (2026)
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters
by: Miller, John Joshua, et al.
Published: (2024)
by: Miller, John Joshua, et al.
Published: (2024)
F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking
by: Surana, Rohan, et al.
Published: (2026)
by: Surana, Rohan, et al.
Published: (2026)
Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization
by: Fehring, Lukas, et al.
Published: (2025)
by: Fehring, Lukas, et al.
Published: (2025)
Monotonic warpings for additive and deep Gaussian processes
by: Barnett, Steven D., et al.
Published: (2024)
by: Barnett, Steven D., et al.
Published: (2024)
Bayesian Optimization over Bounded Domains with the Beta Product Kernel
by: Nguyen, Huy Hoang, et al.
Published: (2025)
by: Nguyen, Huy Hoang, et al.
Published: (2025)
Similar Items
-
On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization
by: Wycoff, Nathan
Published: (2025) -
Regression Trees Know Calculus
by: Wycoff, Nathan
Published: (2024) -
Formal Bayesian Transfer Learning via the Total Risk Prior
by: Wycoff, Nathan, et al.
Published: (2025) -
A Probabilistic Basis for Low-Rank Matrix Learning
by: Segert, Simon, et al.
Published: (2025) -
Active Subspaces in Infinite Dimension
by: Kundu, Poorbita, et al.
Published: (2025)