Image de couverture de livre

Principled Bayesian Optimisation in Collaboration with Human Experts

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xu, Wenjie, Adachi, Masaki, Jones, Colin N., Osborne, Michael A.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
par: Wang, Wenbin, et autres
Publié: (2026)

What price to pay? Auto-tuning a building MPC controller for optimal economic cost
par: Yu, Jiarui, et autres
Publié: (2025)

Bayesian Optimisation: Which Constraints Matter?
par: Lin, Xietao Wang, et autres
Publié: (2025)

Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
par: Dellaporta, Charita, et autres
Publié: (2024)

Bayesian Design Principles for Frequentist Sequential Learning
par: Xu, Yunbei, et autres
Publié: (2023)

Dimensionality Reduction Techniques for Global Bayesian Optimisation
par: Long, Luo, et autres
Publié: (2024)

Collaborative Bayesian Optimization via Wasserstein Barycenters
par: Zhan, Donglin, et autres
Publié: (2025)

Human-in-the-loop: Real-time Preference Optimization
par: Wang, Wenbin, et autres
Publié: (2025)

Bandit Convex Optimisation
par: Lattimore, Tor
Publié: (2024)

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
par: Ziomek, Juliusz, et autres
Publié: (2024)

Monotone Optimisation with Learned Projections
par: Rashwan, Ahmed, et autres
Publié: (2026)

Online Newton Method for Bandit Convex Optimisation
par: Fokkema, Hidde, et autres
Publié: (2024)

Imitation Learning for Combinatorial Optimisation under Uncertainty
par: Gawas, Prakash, et autres
Publié: (2026)

An Asynchronous Decentralised Optimisation Algorithm for Nonconvex Problems
par: Mafakheri, Behnam, et autres
Publié: (2025)

Online Non-convex Optimization with Long-term Non-convex Constraints
par: Pan, Shijie, et autres
Publié: (2023)

A Passivity-Based Method for Accelerated Convex Optimisation
par: Cho, Namhoon, et autres
Publié: (2023)

Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
par: Markou, Evan, et autres
Publié: (2025)

Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-Experts
par: Liao, Fangshuo, et autres
Publié: (2025)

Transfer Learning in Bayesian Optimization for Aircraft Design
par: Tfaily, Ali, et autres
Publié: (2026)

Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation
par: Sucker, Michael, et autres
Publié: (2024)

$ϕ$-Balancing for Mixture-of-Experts Training
par: Chen, Lizhang, et autres
Publié: (2026)

Bayesian Optimization by Kernel Regression and Density-based Exploration
par: Zhu, Tansheng, et autres
Publié: (2025)

Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
par: Srinivasan, Vishwak, et autres
Publié: (2025)

Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
par: Adebiyi, Taiwo A., et autres
Publié: (2024)

PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
par: Wen, Yilin, et autres
Publié: (2026)

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
par: Shen, Han, et autres
Publié: (2024)

Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach
par: Wang, Renzi, et autres
Publié: (2024)

Bayesian Optimization of Bilevel Problems
par: Ekmekcioglu, Omer, et autres
Publié: (2024)

Maximizing Reliability with Bayesian Optimization
par: Buckingham, Jack M., et autres
Publié: (2026)

Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control
par: Domingo-Enrich, Carles, et autres
Publié: (2026)

Bayesian optimization as a flexible and efficient design framework for sustainable process systems
par: Paulson, Joel A., et autres
Publié: (2024)

Online Residual Learning from Offline Experts for Pedestrian Tracking
par: Vlachos, Anastasios, et autres
Publié: (2024)

Preferential Multi-Objective Bayesian Optimization
par: Astudillo, Raul, et autres
Publié: (2024)

Federated ADMM from Bayesian Duality
par: Möllenhoff, Thomas, et autres
Publié: (2025)

Non-Myopic Multifidelity Bayesian Optimization
par: Di Fiore, Francesco, et autres
Publié: (2022)

Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations
par: Sattar, Yahya, et autres
Publié: (2025)

BONSAI: Structure-exploiting robust Bayesian optimization for networked black-box systems under uncertainty
par: Kudva, Akshay, et autres
Publié: (2025)

Data Collaboration Analysis with Orthonormal Basis Selection and Alignment
par: Nosaka, Keiyu, et autres
Publié: (2024)

Epsilon-Greedy Thompson Sampling to Bayesian Optimization
par: Do, Bach, et autres
Publié: (2024)

Bayesian Optimization of Function Networks with Partial Evaluations
par: Buathong, Poompol, et autres
Publié: (2023)