Understanding High-Dimensional Bayesian Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Papenmeier, Leonard, Poloczek, Matthias, Nardi, Luigi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
by: Papenmeier, Leonard, et al.
Published: (2023)
by: Papenmeier, Leonard, et al.
Published: (2023)
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
by: Papenmeier, Leonard, et al.
Published: (2023)
by: Papenmeier, Leonard, et al.
Published: (2023)
Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing
by: Hellsten, Erik, et al.
Published: (2025)
by: Hellsten, Erik, et al.
Published: (2025)
Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization
by: Papenmeier, Leonard, et al.
Published: (2025)
by: Papenmeier, Leonard, et al.
Published: (2025)
Exploring Exploration in Bayesian Optimization
by: Papenmeier, Leonard, et al.
Published: (2025)
by: Papenmeier, Leonard, et al.
Published: (2025)
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
by: Cheng, Nuojin, et al.
Published: (2025)
by: Cheng, Nuojin, et al.
Published: (2025)
Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
by: Wang, Hanyang, et al.
Published: (2025)
by: Wang, Hanyang, et al.
Published: (2025)
SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization
by: Papenmeier, Leonard, et al.
Published: (2026)
by: Papenmeier, Leonard, et al.
Published: (2026)
Respecting the limit:Bayesian optimization with a bound on the optimal value
by: Wang, Hanyang, et al.
Published: (2024)
by: Wang, Hanyang, et al.
Published: (2024)
Vanilla Bayesian Optimization Performs Great in High Dimensions
by: Hvarfner, Carl, et al.
Published: (2024)
by: Hvarfner, Carl, et al.
Published: (2024)
A General Framework for User-Guided Bayesian Optimization
by: Hvarfner, Carl, et al.
Published: (2023)
by: Hvarfner, Carl, et al.
Published: (2023)
Self-Correcting Bayesian Optimization through Bayesian Active Learning
by: Hvarfner, Carl, et al.
Published: (2023)
by: Hvarfner, Carl, et al.
Published: (2023)
Falsification of Cyber-Physical Systems using Bayesian Optimization
by: Ramezani, Zahra, et al.
Published: (2022)
by: Ramezani, Zahra, et al.
Published: (2022)
We Still Don't Understand High-Dimensional Bayesian Optimization
by: Doumont, Colin, et al.
Published: (2025)
by: Doumont, Colin, et al.
Published: (2025)
An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization
by: Huang, Jundi, et al.
Published: (2025)
by: Huang, Jundi, et al.
Published: (2025)
High Dimensional Bayesian Optimization using Lasso Variable Selection
by: Hoang, Vu Viet, et al.
Published: (2025)
by: Hoang, Vu Viet, et al.
Published: (2025)
Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization
by: Zhao, Jiayu, et al.
Published: (2023)
by: Zhao, Jiayu, et al.
Published: (2023)
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
by: Zhan, Dawei
Published: (2024)
by: Zhan, Dawei
Published: (2024)
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
by: Santoni, Maria Laura, et al.
Published: (2023)
by: Santoni, Maria Laura, et al.
Published: (2023)
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
by: Wei, Yunyue, et al.
Published: (2024)
by: Wei, Yunyue, et al.
Published: (2024)
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
by: Nguyen, Quoc-Anh Hoang, et al.
Published: (2024)
by: Nguyen, Quoc-Anh Hoang, et al.
Published: (2024)
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization
by: Tran-The, Hung, et al.
Published: (2019)
by: Tran-The, Hung, et al.
Published: (2019)
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
by: Bardou, Anthony, et al.
Published: (2023)
by: Bardou, Anthony, et al.
Published: (2023)
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection
by: Shen, Yihang, et al.
Published: (2021)
by: Shen, Yihang, et al.
Published: (2021)
Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization
by: Xu, Zhitong, et al.
Published: (2024)
by: Xu, Zhitong, et al.
Published: (2024)
Navigating in High-Dimensional Search Space: A Hierarchical Bayesian Optimization Approach
by: Li, Wenxuan, et al.
Published: (2024)
by: Li, Wenxuan, et al.
Published: (2024)
BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
by: Ryu, Seunghee, et al.
Published: (2025)
by: Ryu, Seunghee, et al.
Published: (2025)
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization
by: Namura, Nobuo, et al.
Published: (2024)
by: Namura, Nobuo, et al.
Published: (2024)
High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
by: Priem, Rémy, et al.
Published: (2025)
by: Priem, Rémy, et al.
Published: (2025)
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
by: Tørring, Jacob O., et al.
Published: (2024)
by: Tørring, Jacob O., et al.
Published: (2024)
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
by: Yin, Yuxuan, et al.
Published: (2023)
by: Yin, Yuxuan, et al.
Published: (2023)
Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
by: Yun, Taeyoung, et al.
Published: (2026)
by: Yun, Taeyoung, et al.
Published: (2026)
Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty
by: Liang, Zhangyong, et al.
Published: (2026)
by: Liang, Zhangyong, et al.
Published: (2026)
From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
by: Xie, Zikai, et al.
Published: (2025)
by: Xie, Zikai, et al.
Published: (2025)
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
by: Cheon, Mujin, et al.
Published: (2024)
by: Cheon, Mujin, et al.
Published: (2024)
Variational Inference for Bayesian MIDAS Regression
by: Simeone, Luigi
Published: (2026)
by: Simeone, Luigi
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)
Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
by: Long, Luo, et al.
Published: (2025)
by: Long, Luo, et al.
Published: (2025)
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks
by: Laborda, Jorge D., et al.
Published: (2024)
by: Laborda, Jorge D., et al.
Published: (2024)
SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality
by: Chakar, Joseph
Published: (2024)
by: Chakar, Joseph
Published: (2024)
Similar Items
-
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
by: Papenmeier, Leonard, et al.
Published: (2023) -
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
by: Papenmeier, Leonard, et al.
Published: (2023) -
Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing
by: Hellsten, Erik, et al.
Published: (2025) -
Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization
by: Papenmeier, Leonard, et al.
Published: (2025) -
Exploring Exploration in Bayesian Optimization
by: Papenmeier, Leonard, et al.
Published: (2025)