Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Fan, Donney, Pleiss, Geoff |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026)
by: Schneider, Jesse, et al.
Published: (2026)
Towards Systematic Generalization for Power Grid Optimization Problems
by: Memon, Zeeshan, et al.
Published: (2026)
by: Memon, Zeeshan, et al.
Published: (2026)
A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks
by: Felizardo, Leonardo Kanashiro, et al.
Published: (2025)
by: Felizardo, Leonardo Kanashiro, et al.
Published: (2025)
Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
by: Krajewska, Antonina, et al.
Published: (2024)
by: Krajewska, Antonina, et al.
Published: (2024)
The Affine Divergence: Aligning Activation Updates Beyond Normalisation
by: Bird, George
Published: (2025)
by: Bird, George
Published: (2025)
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
by: Yuan, Xinzhe, et al.
Published: (2026)
by: Yuan, Xinzhe, et al.
Published: (2026)
Convex Optimization for Alignment and Preference Learning on a Single GPU
by: Feng, Miria, et al.
Published: (2026)
by: Feng, Miria, et al.
Published: (2026)
Multi-Objective Optimization and Hyperparameter Tuning With Desirability Functions
by: Bartz-Beielstein, Thomas
Published: (2025)
by: Bartz-Beielstein, Thomas
Published: (2025)
Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes
by: Bartz-Beielstein, Thomas, et al.
Published: (2024)
by: Bartz-Beielstein, Thomas, et al.
Published: (2024)
Simplifying Hyperparameter Tuning in Online Machine Learning -- The spotRiverGUI
by: Bartz-Beielstein, Thomas
Published: (2024)
by: Bartz-Beielstein, Thomas
Published: (2024)
Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
by: Paulus, Anselm, et al.
Published: (2025)
by: Paulus, Anselm, et al.
Published: (2025)
FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection
by: Singh, Devender, et al.
Published: (2026)
by: Singh, Devender, et al.
Published: (2026)
Primal-Dual Sample Complexity Bounds for Constrained Markov Decision Processes with Multiple Constraints
by: Buckley, Max, et al.
Published: (2025)
by: Buckley, Max, et al.
Published: (2025)
Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures
by: Ghosh, Sucheta, et al.
Published: (2026)
by: Ghosh, Sucheta, et al.
Published: (2026)
Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
by: Bartz-Beielstein, Thomas, et al.
Published: (2025)
by: Bartz-Beielstein, Thomas, et al.
Published: (2025)
Improving Hyperparameter Optimization with Checkpointed Model Weights
by: Mehta, Nikhil, et al.
Published: (2024)
by: Mehta, Nikhil, et al.
Published: (2024)
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
by: Jiang, Shuai, et al.
Published: (2026)
by: Jiang, Shuai, et al.
Published: (2026)
CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)
by: Du, Wenzhang
Published: (2025)
Interior-Point Vanishing Problem in Semidefinite Relaxations for Neural Network Verification
by: Ueda, Ryota, et al.
Published: (2025)
by: Ueda, Ryota, et al.
Published: (2025)
Learning Affine-Equivariant Proximal Operators
by: Savir, Oriel, et al.
Published: (2026)
by: Savir, Oriel, et al.
Published: (2026)
Asynchronous Stochastic Gradient Descent with Decoupled Backpropagation and Layer-Wise Updates
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)
by: Fokam, Cabrel Teguemne, et al.
Published: (2024)
Kourkoutas-Beta: A Sunspike-Driven Adam Optimizer with Desert Flair
by: Kassinos, Stavros C.
Published: (2025)
by: Kassinos, Stavros C.
Published: (2025)
Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing
by: Perera, Minod, et al.
Published: (2025)
by: Perera, Minod, et al.
Published: (2025)
Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
by: Ma, Chen, et al.
Published: (2025)
by: Ma, Chen, et al.
Published: (2025)
Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight
by: Romero, Angel, et al.
Published: (2023)
by: Romero, Angel, et al.
Published: (2023)
A Random Matrix Theory Perspective on the Consistency of Diffusion Models
by: Wang, Binxu, et al.
Published: (2026)
by: Wang, Binxu, et al.
Published: (2026)
Enhanced Random Subspace Local Projections for High-Dimensional Time Series Analysis
by: Khalid, Eman, et al.
Published: (2026)
by: Khalid, Eman, et al.
Published: (2026)
Limitations of Scalarisation in MORL: A Comparative Study in Discrete Environments
by: Shah, Muhammad Sa'ood, et al.
Published: (2025)
by: Shah, Muhammad Sa'ood, et al.
Published: (2025)
Scaling Laws for Associative Memories
by: Cabannes, Vivien, et al.
Published: (2023)
by: Cabannes, Vivien, et al.
Published: (2023)
Context-dependent manifold learning: A neuromodulated constrained autoencoder approach
by: Adriaens, Jérôme, et al.
Published: (2026)
by: Adriaens, Jérôme, et al.
Published: (2026)
Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes
by: Uehara, Eichi
Published: (2026)
by: Uehara, Eichi
Published: (2026)
Scalable Nested Optimization for Deep Learning
by: Lorraine, Jonathan
Published: (2024)
by: Lorraine, Jonathan
Published: (2024)
Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
by: Xu, Xinjie, et al.
Published: (2025)
by: Xu, Xinjie, et al.
Published: (2025)
An objective function for order preserving hierarchical clustering
by: Bakkelund, Daniel
Published: (2021)
by: Bakkelund, Daniel
Published: (2021)
Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy
by: Sao, Piyush
Published: (2026)
by: Sao, Piyush
Published: (2026)
Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
by: Williamson, Dane, et al.
Published: (2025)
by: Williamson, Dane, et al.
Published: (2025)
Bayesian Hierarchical Probabilistic Forecasting of Intraday Electricity Prices
by: Nickelsen, Daniel, et al.
Published: (2024)
by: Nickelsen, Daniel, et al.
Published: (2024)
Dual VC Dimension Obstructs Sample Compression by Embeddings
by: Chase, Zachary, et al.
Published: (2024)
by: Chase, Zachary, et al.
Published: (2024)
Stable and Convexified Information Bottleneck Optimization via Symbolic Continuation and Entropy-Regularized Trajectories
by: Alpay, Faruk
Published: (2025)
by: Alpay, Faruk
Published: (2025)
Black-Box Uniform Stability for Non-Euclidean Empirical Risk Minimization
by: Vary, Simon, et al.
Published: (2024)
by: Vary, Simon, et al.
Published: (2024)
Similar Items
-
Bayesian Optimization in Linear Time
by: Schneider, Jesse, et al.
Published: (2026) -
Towards Systematic Generalization for Power Grid Optimization Problems
by: Memon, Zeeshan, et al.
Published: (2026) -
A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks
by: Felizardo, Leonardo Kanashiro, et al.
Published: (2025) -
Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting
by: Krajewska, Antonina, et al.
Published: (2024) -
The Affine Divergence: Aligning Activation Updates Beyond Normalisation
by: Bird, George
Published: (2025)