Bayesian Optimization

Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization ICLR 2025 Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025 Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025 Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025 User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization AAAI 2025 Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025 Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models AISTATS 2025 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024 A General Framework for User-Guided Bayesian Optimization ICLR 2024 Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024 A Unified Framework for Bayesian Optimization under Contextual Uncertainty ICLR 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024 Bayesian Optimization of Functions over Node Subsets in Graphs NeurIPS 2024 Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NeurIPS 2024 Efficient Hyperparameter Optimization with Adaptive Fidelity Identification CVPR 2024 Exploring High-dimensional Search Space via Voronoi Graph Traversing UAI 2024 Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 Learning relevant contextual variables within Bayesian optimization UAI 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity UAI 2024 Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024 Optimistic Bayesian Optimization with Unknown Constraints ICLR 2024