Cover Image

Bayesian Optimisation: Which Constraints Matter?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Xietao Wang, Ungredda, Juan, Butler, Max, Town, James, Rahat, Alma, Singh, Hemant, Branke, Juergen
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Optimization of Bilevel Problems
by: Ekmekcioglu, Omer, et al.
Published: (2024)

Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
by: Wang, Hanyang, et al.
Published: (2025)

Maximizing Reliability with Bayesian Optimization
by: Buckingham, Jack M., et al.
Published: (2026)

Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems
by: Buckingham, Jack M., et al.
Published: (2024)

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

Joint Learning of Linear Dynamical Systems under Smoothness Constraints
by: Tyagi, Hemant
Published: (2024)

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

Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2024)

Dimensionality Reduction Techniques for Global Bayesian Optimisation
by: Long, Luo, et al.
Published: (2024)

Bandit Convex Optimisation
by: Lattimore, Tor
Published: (2024)

Which Features are Best for Successor Features?
by: Ollivier, Yann
Published: (2025)

Monotone Optimisation with Learned Projections
by: Rashwan, Ahmed, et al.
Published: (2026)

Bayesian Ambiguity Contraction-based Adaptive Robust Markov Decision Processes for Adversarial Surveillance Missions
by: Choi, Jimin, et al.
Published: (2025)

An Asynchronous Decentralised Optimisation Algorithm for Nonconvex Problems
by: Mafakheri, Behnam, et al.
Published: (2025)

Imitation Learning for Combinatorial Optimisation under Uncertainty
by: Gawas, Prakash, et al.
Published: (2026)

Online Newton Method for Bandit Convex Optimisation
by: Fokkema, Hidde, et al.
Published: (2024)

A Passivity-Based Method for Accelerated Convex Optimisation
by: Cho, Namhoon, et al.
Published: (2023)

Learning linear dynamical systems under convex constraints
by: Tyagi, Hemant, et al.
Published: (2023)

Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
by: Markou, Evan, et al.
Published: (2025)

Position: Adopt Constraints Over Fixed Penalties in Deep Learning
by: Ramirez, Juan, et al.
Published: (2025)

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why
by: Sial, Tushar, et al.
Published: (2026)

Collaborative Bayesian Optimization via Wasserstein Barycenters
by: Zhan, Donglin, et al.
Published: (2025)

Almost Bayesian: The Fractal Dynamics of Stochastic Gradient Descent
by: Hennick, Max, et al.
Published: (2025)

Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints
by: He, Yutian, et al.
Published: (2025)

Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction
by: Shihua, James M., et al.
Published: (2025)

On the convergence rate of noisy Bayesian Optimization with Expected Improvement
by: Wang, Jingyi, et al.
Published: (2025)

Joint learning of a network of linear dynamical systems via total variation penalization
by: Donnat, Claire, et al.
Published: (2025)

Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
by: Srinivasan, Vishwak, et al.
Published: (2025)

Inexact Moreau Envelope Lagrangian Method for Non-Convex Constrained Optimization under Local Error Bound Conditions on Constraint Functions
by: Huang, Yankun, et al.
Published: (2025)

Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2025)

A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints
by: Wang, Lei, et al.
Published: (2025)

Proximal-Based Generative Modeling for Bayesian Inverse Problems
by: Zhang, Boyang, et al.
Published: (2026)

A Re-solving Heuristic for Dynamic Assortment Optimization with Knapsack Constraints
by: Chen, Xi, et al.
Published: (2024)

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

Bridging Constraints and Stochasticity: A Fully First-Order Method for Stochastic Bilevel Optimization with Linear Constraints
by: Phan, Cac, et al.
Published: (2025)

Smooth Quasar-Convex Optimization with Constraints
by: Martínez-Rubio, David
Published: (2025)

Stochastic Compositional Optimization with Compositional Constraints
by: Yang, Shuoguang, et al.
Published: (2022)

A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
by: Wang, Lei, et al.
Published: (2022)

Tight Mixed-Integer Optimization Formulations for Prescriptive Trees
by: Biggs, Max, et al.
Published: (2023)

Muon Optimizes Under Spectral Norm Constraints
by: Chen, Lizhang, et al.
Published: (2025)