bayesian optimization

High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling ICML 2024 HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024 Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024 In-context Exploration-Exploitation for Reinforcement Learning ICLR 2024 In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization ICML 2024 InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models ICML 2024 Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024 Joint Composite Latent Space Bayesian Optimization ICML 2024 Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024 Large Language Models to Enhance Bayesian Optimization ICLR 2024 Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 2024 MALIBO: Meta-learning for Likelihood-free Bayesian Optimization ICML 2024 MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024 Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes ICLR 2024 Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization NeurIPS 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 Model Fusion through Bayesian Optimization in Language Model Fine-Tuning NeurIPS 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NeurIPS 2024 MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints RSS 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024 Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization ICML 2024 No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024 Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024 OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024