Optimal Initialization of Batch Bayesian Optimization
Fuente:
arXiv
Guardado en:
| Autores principales: | Ren, Jiuge, Sweet, David |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Fast, Precise Thompson Sampling for Bayesian Optimization
por: Sweet, David
Publicado: (2024)
por: Sweet, David
Publicado: (2024)
Batched Energy-Entropy acquisition for Bayesian Optimization
por: Teufel, Felix, et al.
Publicado: (2024)
por: Teufel, Felix, et al.
Publicado: (2024)
Optimal Batched Linear Bandits
por: Ren, Xuanfei, et al.
Publicado: (2024)
por: Ren, Xuanfei, et al.
Publicado: (2024)
Informed Initialization for Bayesian Optimization and Active Learning
por: Hvarfner, Carl, et al.
Publicado: (2025)
por: Hvarfner, Carl, et al.
Publicado: (2025)
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
por: Sharrock, Louis
Publicado: (2026)
por: Sharrock, Louis
Publicado: (2026)
Pretrained Joint Predictions for Scalable Batch Bayesian Optimization of Molecular Designs
por: Wang-Henderson, Miles, et al.
Publicado: (2025)
por: Wang-Henderson, Miles, et al.
Publicado: (2025)
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
por: Ahmadianshalchi, Alaleh, et al.
Publicado: (2024)
por: Ahmadianshalchi, Alaleh, et al.
Publicado: (2024)
Batch Acquisition Function Evaluations and Decouple Optimizer Updates for Faster Bayesian Optimization
por: Irie, Kaichi, et al.
Publicado: (2025)
por: Irie, Kaichi, et al.
Publicado: (2025)
Batch Bayesian Active Learning with Partial Batch Label Sampling
por: Hu, Kangping, et al.
Publicado: (2025)
por: Hu, Kangping, et al.
Publicado: (2025)
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
por: Ngo, Lam, et al.
Publicado: (2025)
por: Ngo, Lam, et al.
Publicado: (2025)
Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not
por: Nagaswetha, Kumbha, et al.
Publicado: (2026)
por: Nagaswetha, Kumbha, et al.
Publicado: (2026)
Optimal Batched Best Arm Identification
por: Jin, Tianyuan, et al.
Publicado: (2023)
por: Jin, Tianyuan, et al.
Publicado: (2023)
A Simple and Efficient Approach to Batch Bayesian Optimization
por: Zhan, Dawei, et al.
Publicado: (2024)
por: Zhan, Dawei, et al.
Publicado: (2024)
Optimal and Practical Batched Linear Bandit Algorithm
por: Yu, Sanghoon, et al.
Publicado: (2025)
por: Yu, Sanghoon, et al.
Publicado: (2025)
Batched Bayesian optimization by maximizing the probability of including the optimum
por: Fromer, Jenna, et al.
Publicado: (2024)
por: Fromer, Jenna, et al.
Publicado: (2024)
Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource$\unicode{x2013}$constrained Conditions
por: Taguchi, Yujin, et al.
Publicado: (2024)
por: Taguchi, Yujin, et al.
Publicado: (2024)
Holistic Bioprocess Development Across Scales Using Multi-Fidelity Batch Bayesian Optimization
por: Martens, Adrian, et al.
Publicado: (2025)
por: Martens, Adrian, et al.
Publicado: (2025)
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
por: Ansari, Navid, et al.
Publicado: (2023)
por: Ansari, Navid, et al.
Publicado: (2023)
ADAM Optimization with Adaptive Batch Selection
por: Kim, Gyu Yeol, et al.
Publicado: (2025)
por: Kim, Gyu Yeol, et al.
Publicado: (2025)
Big Batch Bayesian Active Learning by Considering Predictive Probabilities
por: Ober, Sebastian W., et al.
Publicado: (2025)
por: Ober, Sebastian W., et al.
Publicado: (2025)
BOTS: Batch Bayesian Optimization of Extended Thompson Sampling for Severely Episode-Limited RL Settings
por: Karine, Karine, et al.
Publicado: (2024)
por: Karine, Karine, et al.
Publicado: (2024)
Nonparametric Bayesian Optimization for General Rewards
por: Zhang, Zishi, et al.
Publicado: (2026)
por: Zhang, Zishi, et al.
Publicado: (2026)
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
por: Yang, Haoyu, et al.
Publicado: (2024)
por: Yang, Haoyu, et al.
Publicado: (2024)
ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints
por: Morato, Pablo G., et al.
Publicado: (2025)
por: Morato, Pablo G., et al.
Publicado: (2025)
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling
por: Li, Shuaipeng, et al.
Publicado: (2024)
por: Li, Shuaipeng, et al.
Publicado: (2024)
Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns
por: Alvi, Sk Md Ahnaf Akif, et al.
Publicado: (2025)
por: Alvi, Sk Md Ahnaf Akif, et al.
Publicado: (2025)
Optimal-Point Variance Reduction For Bayesian Optimization With Regret Guarantee
por: Takeno, Shion
Publicado: (2026)
por: Takeno, Shion
Publicado: (2026)
Default Machine Learning Hyperparameters Do Not Provide Informative Initialization for Bayesian Optimization
por: Prieto, Nicolás Villagrán, et al.
Publicado: (2026)
por: Prieto, Nicolás Villagrán, et al.
Publicado: (2026)
Bayesian Adaptive Calibration and Optimal Design
por: Oliveira, Rafael, et al.
Publicado: (2024)
por: Oliveira, Rafael, et al.
Publicado: (2024)
Rethinking Efficiency in Neural Combinatorial Optimization: Batched Preference Optimization with Mamba
por: Xu, Zhenxing, et al.
Publicado: (2026)
por: Xu, Zhenxing, et al.
Publicado: (2026)
Expected Batch Optimal Transport Plans and Consequences for Flow Matching
por: Boïté, Samuel, et al.
Publicado: (2026)
por: Boïté, Samuel, et al.
Publicado: (2026)
Convergence Bound and Critical Batch Size of Muon Optimizer
por: Sato, Naoki, et al.
Publicado: (2025)
por: Sato, Naoki, et al.
Publicado: (2025)
Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design
por: Muthyala, Madhav R., et al.
Publicado: (2025)
por: Muthyala, Madhav R., et al.
Publicado: (2025)
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
por: Kayal, Aya, et al.
Publicado: (2025)
por: Kayal, Aya, et al.
Publicado: (2025)
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
por: Salgia, Sudeep, et al.
Publicado: (2023)
por: Salgia, Sudeep, et al.
Publicado: (2023)
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
por: Ip, Joshua Hang Sai, et al.
Publicado: (2025)
por: Ip, Joshua Hang Sai, et al.
Publicado: (2025)
Causal Bayesian Optimization via Exogenous Distribution Learning
por: Ren, Shaogang, et al.
Publicado: (2024)
por: Ren, Shaogang, et al.
Publicado: (2024)
Optimal Batch Allocation for Wireless Federated Learning
por: Song, Jaeyoung, et al.
Publicado: (2024)
por: Song, Jaeyoung, et al.
Publicado: (2024)
Continuum-armed Bandit Optimization with Batch Pairwise Comparison Oracles
por: Chang, Xiangyu, et al.
Publicado: (2025)
por: Chang, Xiangyu, et al.
Publicado: (2025)
Multi-Variable Batch Bayesian Optimization in Materials Research: Synthetic Data Analysis of Noise Sensitivity and Problem Landscape Effects
por: Mia, Imon, et al.
Publicado: (2025)
por: Mia, Imon, et al.
Publicado: (2025)
Ejemplares similares
-
Fast, Precise Thompson Sampling for Bayesian Optimization
por: Sweet, David
Publicado: (2024) -
Batched Energy-Entropy acquisition for Bayesian Optimization
por: Teufel, Felix, et al.
Publicado: (2024) -
Optimal Batched Linear Bandits
por: Ren, Xuanfei, et al.
Publicado: (2024) -
Informed Initialization for Bayesian Optimization and Active Learning
por: Hvarfner, Carl, et al.
Publicado: (2025) -
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
por: Sharrock, Louis
Publicado: (2026)