LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions
Fuente:
arXiv
Saved in:
| Main Authors: | Visser, E., van Daalen, C. E., Schoeman, J. C. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
by: Ghasemzadeh, Maryam, et al.
Published: (2025)
by: Ghasemzadeh, Maryam, et al.
Published: (2025)
Federated Bayesian Network Ensembles
by: van Daalen, Florian, et al.
Published: (2024)
by: van Daalen, Florian, et al.
Published: (2024)
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values
by: van Daalen, Florian, et al.
Published: (2022)
by: van Daalen, Florian, et al.
Published: (2022)
On the use of the Gram matrix for multivariate functional principal components analysis
by: Golovkine, Steven, et al.
Published: (2023)
by: Golovkine, Steven, et al.
Published: (2023)
On the estimation of the number of components in multivariate functional principal component analysis
by: Golovkine, Steven, et al.
Published: (2023)
by: Golovkine, Steven, et al.
Published: (2023)
Multi-context principal component analysis
by: Wang, Kexin, et al.
Published: (2026)
by: Wang, Kexin, et al.
Published: (2026)
On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know'
by: Bastounis, Alexander, et al.
Published: (2024)
by: Bastounis, Alexander, et al.
Published: (2024)
Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi
by: Bredell, F., et al.
Published: (2024)
by: Bredell, F., et al.
Published: (2024)
Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)
by: Liautaud, Paul, et al.
Published: (2024)
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
by: Saves, Paul, et al.
Published: (2025)
by: Saves, Paul, et al.
Published: (2025)
Minimax-optimal trust-aware multi-armed bandits
by: Cai, Changxiao, et al.
Published: (2024)
by: Cai, Changxiao, et al.
Published: (2024)
Supertrust foundational alignment: mutual trust must replace permanent control for safe superintelligence
by: Mazzu, James M.
Published: (2024)
by: Mazzu, James M.
Published: (2024)
Do algorithms and barriers for sparse principal component analysis extend to other structured settings?
by: Wang, Guanyi, et al.
Published: (2023)
by: Wang, Guanyi, et al.
Published: (2023)
qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
by: Renganathan, Ashwin, et al.
Published: (2023)
by: Renganathan, Ashwin, et al.
Published: (2023)
Bayesian model-averaging stochastic item selection for adaptive testing
by: Su, Tina, et al.
Published: (2025)
by: Su, Tina, et al.
Published: (2025)
Benchmarking and optimizing organism wide single-cell RNA alignment methods
by: Diaz-Mejia, Juan Javier, et al.
Published: (2025)
by: Diaz-Mejia, Juan Javier, et al.
Published: (2025)
Quantum principal component analysis without eigenvector recovery
by: Yuan, Yewei, et al.
Published: (2026)
by: Yuan, Yewei, et al.
Published: (2026)
Sparse components distinguish visual pathways & their alignment to neural networks
by: Marvi, Ammar I, et al.
Published: (2025)
by: Marvi, Ammar I, et al.
Published: (2025)
Local adapt-then-combine algorithms for distributed nonsmooth optimization: Achieving provable communication acceleration
by: Guo, Luyao, et al.
Published: (2026)
by: Guo, Luyao, et al.
Published: (2026)
An adaptive approach to Bayesian Optimization with switching costs
by: Pricopie, Stefan, et al.
Published: (2024)
by: Pricopie, Stefan, et al.
Published: (2024)
The feasibility of multi-graph alignment: a Bayesian approach
by: Vassaux, Louis, et al.
Published: (2025)
by: Vassaux, Louis, et al.
Published: (2025)
Differentially Private Hyperparameter Tuning using Local Bayesian Optimization
by: Sopa, Getoar, et al.
Published: (2025)
by: Sopa, Getoar, et al.
Published: (2025)
Statistical description and dimension reduction of continuous time categorical trajectories with multivariate functional principal components
by: Cardot, Hervé, et al.
Published: (2025)
by: Cardot, Hervé, et al.
Published: (2025)
Transfer learning for predicting source terms of principal component transport in chemically reactive flow
by: Jung, Ki Sung, et al.
Published: (2023)
by: Jung, Ki Sung, et al.
Published: (2023)
Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
by: Lam, Ka Kin, et al.
Published: (2021)
by: Lam, Ka Kin, et al.
Published: (2021)
Approximately optimal domain adaptation with Fisher's Linear Discriminant
by: Helm, Hayden S., et al.
Published: (2023)
by: Helm, Hayden S., et al.
Published: (2023)
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)
Nonlinear Bayesian optimal experimental design using logarithmic Sobolev inequalities
by: Li, Fengyi, et al.
Published: (2024)
by: Li, Fengyi, et al.
Published: (2024)
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
by: Balzer, Laura B., et al.
Published: (2025)
by: Balzer, Laura B., et al.
Published: (2025)
FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
by: Ma, Ziling, et al.
Published: (2025)
by: Ma, Ziling, et al.
Published: (2025)
Bivariate Causal Discovery using Bayesian Model Selection
by: Dhir, Anish, et al.
Published: (2023)
by: Dhir, Anish, et al.
Published: (2023)
Unrolled denoising networks provably learn optimal Bayesian inference
by: Karan, Aayush, et al.
Published: (2024)
by: Karan, Aayush, et al.
Published: (2024)
Probabilistic Bayesian optimal experimental design using conditional normalizing flows
by: Orozco, Rafael, et al.
Published: (2024)
by: Orozco, Rafael, et al.
Published: (2024)
Quantum approximate optimization via learning-based adaptive optimization
by: Cheng, Lixue, et al.
Published: (2023)
by: Cheng, Lixue, et al.
Published: (2023)
To bootstrap or to rollout? An optimal and adaptive interpolation
by: Mou, Wenlong, et al.
Published: (2024)
by: Mou, Wenlong, et al.
Published: (2024)
Learning functional components of PDEs from data using neural networks
by: Loman, Torkel E., et al.
Published: (2026)
by: Loman, Torkel E., et al.
Published: (2026)
SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models
by: Rossi, Alvise Dei, et al.
Published: (2025)
by: Rossi, Alvise Dei, et al.
Published: (2025)
Local Constrained Bayesian Optimization
by: Jingzhe, Jing, et al.
Published: (2026)
by: Jingzhe, Jing, et al.
Published: (2026)
Local Preferential Bayesian Optimization
by: Menn, Johanna, et al.
Published: (2026)
by: Menn, Johanna, et al.
Published: (2026)
Conformal time series decomposition with component-wise exchangeability
by: Prinzhorn, Derck W. E., et al.
Published: (2024)
by: Prinzhorn, Derck W. E., et al.
Published: (2024)
Similar Items
-
NOSTRA: A noise-resilient and sparse data framework for trust region based multi objective Bayesian optimization
by: Ghasemzadeh, Maryam, et al.
Published: (2025) -
Federated Bayesian Network Ensembles
by: van Daalen, Florian, et al.
Published: (2024) -
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values
by: van Daalen, Florian, et al.
Published: (2022) -
On the use of the Gram matrix for multivariate functional principal components analysis
by: Golovkine, Steven, et al.
Published: (2023) -
On the estimation of the number of components in multivariate functional principal component analysis
by: Golovkine, Steven, et al.
Published: (2023)