Imagen de Portada

The Vizier Gaussian Process Bandit Algorithm

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Song, Xingyou, Zhang, Qiuyi, Lee, Chansoo, Fertig, Emily, Huang, Tzu-Kuo, Belenki, Lior, Kochanski, Greg, Ariafar, Setareh, Vasudevan, Srinivas, Perel, Sagi, Golovin, Daniel
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Language Model Embeddings Can Be Sufficient for Bayesian Optimization
por: Nguyen, Tung, et al.
Publicado: (2024)

OmniPred: Language Models as Universal Regressors
por: Song, Xingyou, et al.
Publicado: (2024)

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
por: Tran-The, Hung, et al.
Publicado: (2022)

Time-varying Gaussian Process Bandit Optimization with Experts: no-regret in logarithmically-many side queries
por: Mauduit, Eliabelle, et al.
Publicado: (2025)

Optimal Scalarizations for Sublinear Hypervolume Regret
por: Zhang, Qiuyi
Publicado: (2023)

DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback
por: Xiong, Guojun, et al.
Publicado: (2024)

Low-Complexity Algorithm for Restless Bandits with Imperfect Observations
por: Liu, Keqin, et al.
Publicado: (2021)

Non-Stationary Bandit Convex Optimization: An Optimal Algorithm with Two-Point Feedback
por: He, Chang, et al.
Publicado: (2025)

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization
por: Bakkali, Taha El, et al.
Publicado: (2026)

An Efficient Spatial Branch-and-Bound Algorithm for Global Optimization of Gaussian Process Posterior Mean Functions
por: Tang, Wei-Ting, et al.
Publicado: (2026)

Bayesian Dissuasion with Bandit Exploration
por: DAntoni, Massimo, et al.
Publicado: (2024)

Stochastic Zeroth-Order Optimization Under Heavy-Tailed Noise
por: Bakkali, Taha El, et al.
Publicado: (2026)

SCLP-Simplex Algorithm for Robust Fluid Processing Networks
por: Shindin, Evgeny, et al.
Publicado: (2024)

Augmenting Subspace Optimization Methods with Linear Bandits
por: Menickelly, Matt
Publicado: (2024)

Complete Decentralization of Linear Quadratic Gaussian Control for the Discrete Wave Equation
por: McCurdy, Addie, et al.
Publicado: (2025)

Bandit Convex Optimisation
por: Lattimore, Tor
Publicado: (2024)

Adapted Optimal Transport between Filtered Gaussian Processes
por: Gunasingam, Madhu, et al.
Publicado: (2026)

Online Learning on Hidden-Convex Losses via Algorithmic Equivalence: Optimal Regret, Geometric Barrier, and Bandit Feedback
por: Barakat, Anas, et al.
Publicado: (2026)

Robust Gaussian Processes via Relevance Pursuit
por: Ament, Sebastian, et al.
Publicado: (2024)

Gaussian Process Thompson Sampling via Rootfinding
por: Adebiyi, Taiwo A., et al.
Publicado: (2024)

Intrinsic Gaussian Processes on Manifolds and Their Accelerations by Symmetry
por: Ye, Ke, et al.
Publicado: (2020)

Decomposition-Coordination Method for Finite Horizon Bandit Problems
por: de Lara, Michel, et al.
Publicado: (2021)

Quantum Algorithms for Bandits with Knapsacks with Improved Regret and Time Complexities
por: Su, Yuexin, et al.
Publicado: (2025)

Distributionally Robust Gaussian Process Regression and Bayesian Inverse Problems
por: Zhang, Xuhui, et al.
Publicado: (2022)

Improved SQP and SLSQP Algorithms for Feasible Path-based Process Optimisation
por: Ma, Yingjie, et al.
Publicado: (2024)

Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models
por: Belenki, Lior, et al.
Publicado: (2025)

Bandit Allocational Instability
por: Chen, Yilun, et al.
Publicado: (2026)

Optimal Radio Resource Management for ISAC Under Imperfect Information: A Resource Economy-Driven Perspective
por: Abanto-Leon, Luis F., et al.
Publicado: (2026)

Non-stationary Bandits with Habituation and Recovery Dynamics and Knapsack Constraints
por: He, Qinyang, et al.
Publicado: (2024)

Multi-armed Bandit for Stochastic Shortest Path in Mixed Autonomy
por: Bai, Yu, et al.
Publicado: (2025)

Relaxed Indexability and Index Policy for Partially Observable Restless Bandits
por: Liu, Keqin
Publicado: (2021)

Linear ordinary differential equations constrained Gaussian Processes for solving optimal control problems
por: Besginow, Andreas, et al.
Publicado: (2025)

Stability-Constrained AC Optimal Power Flow--A Gaussian Process-Based Approach
por: Di Vito, Vincenzo, et al.
Publicado: (2025)

Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
por: Rathore, Pratik, et al.
Publicado: (2025)

Wasserstein Barycenter Gaussian Process based Bayesian Optimization
por: Candelieri, Antonio, et al.
Publicado: (2025)

Theoretical Analysis of Heteroscedastic Gaussian Processes with Posterior Distributions
por: Ito, Yuji
Publicado: (2024)

Gaussian Process Regression with Soft Inequality and Monotonicity Constraints
por: Kochan, Didem, et al.
Publicado: (2024)

No-Regret Gaussian Process Optimization of Time-Varying Functions
por: Mauduit, Eliabelle, et al.
Publicado: (2025)

Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
por: Tonini, Stefano, et al.
Publicado: (2026)

Contextual Bandits with Budgeted Information Reveal
por: Gan, Kyra, et al.
Publicado: (2023)