:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xu, Wenjie, Wang, Wenbin, Jiang, Yuning, Svetozarevic, Bratislav, Jones, Colin N.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.05367
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Constrained Efficient Global Optimization of Expensive Black-box Functions
by: Xu, Wenjie, et al.
Published: (2022)

Stable Linear Subspace Identification: A Machine Learning Approach
by: Di Natale, Loris, et al.
Published: (2023)

Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
by: Wang, Wenbin, et al.
Published: (2026)

Principled Bayesian Optimisation in Collaboration with Human Experts
by: Xu, Wenjie, et al.
Published: (2024)

Personalized Building Climate Control with Contextual Preferential Bayesian Optimization
by: Wang, Wenbin, et al.
Published: (2025)

Consecutive Preferential Bayesian Optimization
by: Erarslan, Aras, et al.
Published: (2025)

Local Preferential Bayesian Optimization
by: Menn, Johanna, et al.
Published: (2026)

Preferential Multi-Objective Bayesian Optimization
by: Astudillo, Raul, et al.
Published: (2024)

Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization
by: Sinaga, Marshal Arijona, et al.
Published: (2024)

Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties
by: A V, Arun Kumar, et al.
Published: (2024)

Preferential Multi-Objective Bayesian Optimization for Drug Discovery
by: Dang, Tai, et al.
Published: (2025)

A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback
by: Lazzaro, Joseph, et al.
Published: (2026)

Efficient Contextual Preferential Bayesian Optimization with Historical Examples
by: Khan, Farha A., et al.
Published: (2022)

Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design
by: Iwai, Koki, et al.
Published: (2025)

DT-PBO: an Interpretable Tree-based Surrogate Model for Preferential Bayesian Optimization
by: Leenders, Nick, et al.
Published: (2025)

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial
by: Yu, Zhongwei, et al.
Published: (2026)

PABBO: Preferential Amortized Black-Box Optimization
by: Zhang, Xinyu, et al.
Published: (2025)

What price to pay? Auto-tuning a building MPC controller for optimal economic cost
by: Yu, Jiarui, et al.
Published: (2025)

Human-in-the-loop: Real-time Preference Optimization
by: Wang, Wenbin, et al.
Published: (2025)

Preferential Normalizing Flows
by: Mikkola, Petrus, et al.
Published: (2024)

Extending Multi-Source Bayesian Optimization With Causality Principles
by: Jacobs, Luuk, et al.
Published: (2026)

Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization
by: Doumont, Colin, et al.
Published: (2025)

Combinatorial Bandit Bayesian Optimization for Tensor Outputs
by: Huang, Jingru, et al.
Published: (2026)

Function-on-Function Bayesian Optimization
by: Huang, Jingru, et al.
Published: (2025)

Bayesian Design Principles for Frequentist Sequential Learning
by: Xu, Yunbei, et al.
Published: (2023)

We Still Don't Understand High-Dimensional Bayesian Optimization
by: Doumont, Colin, et al.
Published: (2025)

LiMuon: Light and Fast Muon Optimizer for Large Models
by: Huang, Feihu, et al.
Published: (2025)

When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected
by: Xu, Haotian, et al.
Published: (2025)

Improving Neural Additive Models with Bayesian Principles
by: Bouchiat, Kouroche, et al.
Published: (2023)

Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
by: Cai, Xu, et al.
Published: (2024)

Improving Discrete Diffusion Models via Structured Preferential Generation
by: Rissanen, Severi, et al.
Published: (2024)

Learning Kernel-Based MDPs from Episodic Preferential Feedback
by: Pavlovic, Nikola, et al.
Published: (2026)

Learning to Continually Learn with the Bayesian Principle
by: Lee, Soochan, et al.
Published: (2024)

Bayesian Design Principles for Offline-to-Online Reinforcement Learning
by: Hu, Hao, et al.
Published: (2024)

Preferential subspace identification (PSID) with forward-backward smoothing
by: Sani, Omid G., et al.
Published: (2025)

Learning Polyhedral Conformal Sets for Robust Optimization
by: Chen, Shuyi, et al.
Published: (2026)

Hindsight-Anchored Policy Optimization: Turning Failure into Feedback in Sparse Reward Settings
by: Wu, Yuning, et al.
Published: (2026)

Variational Bayesian Flow Network for Graph Generation
by: Xiong, Yida, et al.
Published: (2026)

MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models
by: Huang, Feihu, et al.
Published: (2026)

Online Non-convex Optimization with Long-term Non-convex Constraints
by: Pan, Shijie, et al.
Published: (2023)