:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Thomas, Noel
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.04895
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Objective Causal Bayesian Optimization
by: Bhatija, Shriya, et al.
Published: (2025)

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
by: Rakotoarison, Herilalaina, et al.
Published: (2024)

Regime-Adaptive Bayesian Optimization via Dirichlet Process Mixtures of Gaussian Processes
by: Zhang, Yan, et al.
Published: (2026)

Bayesian Optimization of Catalysis With In-Context Learning
by: Ramos, Mayk Caldas, et al.
Published: (2023)

Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource$\unicode{x2013}$constrained Conditions
by: Taguchi, Yujin, et al.
Published: (2024)

Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations
by: Buckingham, Jack M., et al.
Published: (2023)

In-Context Learning Under Regime Change
by: Dudley, Carson, et al.
Published: (2026)

Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
by: de Carvalho, Gustavo Sutter Pessurno, et al.
Published: (2025)

ChaosBench-Logic v2: Evaluating LLM Logical Reasoning over Dynamical Systems at Scale
by: Thomas, Noel
Published: (2026)

Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
by: Micheli, Francesco, et al.
Published: (2025)

Multi-Agent Regime-Conditioned Diffusion (MARCD) for CVaR-Constrained Portfolio Decisions
by: Alzahrani, Ali Atiah
Published: (2025)

In-Context Multi-Objective Optimization
by: Zhang, Xinyu, et al.
Published: (2025)

Fast Bayesian Optimization of Function Networks with Partial Evaluations
by: Buathong, Poompol, et al.
Published: (2025)

Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
by: Lee, Thomas L., et al.
Published: (2023)

Explainable Learning Rate Regimes for Stochastic Optimization
by: Yang, Zhuang
Published: (2025)

Large Scale Multi-Task Bayesian Optimization with Large Language Models
by: Zeng, Yimeng, et al.
Published: (2025)

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

Conditional Bayesian Quadrature
by: Chen, Zonghao, et al.
Published: (2024)

ADO-LLM: Analog Design Bayesian Optimization with In-Context Learning of Large Language Models
by: Yin, Yuxuan, et al.
Published: (2024)

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

Bayesian Optimization of Function Networks with Partial Evaluations
by: Buathong, Poompol, et al.
Published: (2023)

Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not
by: Nagaswetha, Kumbha, et al.
Published: (2026)

ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes
by: Wei, Jack Yi, et al.
Published: (2026)

Feasibility-Driven Trust Region Bayesian Optimization
by: Ascia, Paolo, et al.
Published: (2025)

Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework
by: Yen, Thomson, et al.
Published: (2025)

Towards Safe Multi-Task Bayesian Optimization
by: Lübsen, Jannis O., et al.
Published: (2023)

Non-Myopic Multi-Objective Bayesian Optimization
by: Belakaria, Syrine, et al.
Published: (2024)

ContextEvolve: Multi-Agent Context Compression for Systems Code Optimization
by: Su, Hongyuan, et al.
Published: (2026)

SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization
by: Papenmeier, Leonard, et al.
Published: (2026)

Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors
by: Hossen, Md Abir, et al.
Published: (2026)

Context-Specific Causal Graph Discovery with Unobserved Contexts: Non-Stationarity, Regimes and Spatio-Temporal Patterns
by: Rabel, Martin, et al.
Published: (2025)

On the Identifiability of Regime-Switching Models with Multi-Lag Dependencies
by: Balsells-Rodas, Carles, et al.
Published: (2026)

Batch Acquisition Function Evaluations and Decouple Optimizer Updates for Faster Bayesian Optimization
by: Irie, Kaichi, et al.
Published: (2025)

Context-Specific Refinements of Bayesian Network Classifiers
by: Leonelli, Manuele, et al.
Published: (2024)

Multi-Objective Bayesian Optimization via Adaptive \varepsilon-Constraints Decomposition
by: Yang, Yaohong, et al.
Published: (2026)

Multi-Agent LLMs for Adaptive Acquisition in Bayesian Optimization
by: Carbonati, Andrea, et al.
Published: (2026)

Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
by: Sabanza-Gil, Víctor, et al.
Published: (2024)

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
by: Ip, Joshua Hang Sai, et al.
Published: (2025)

A Constrained Multi-Fidelity Bayesian Optimization Method
by: Wang, Jingyi, et al.
Published: (2025)

An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
by: Luebsen, Jannis O., et al.
Published: (2025)