bayesian optimization

Optimistic Bayesian Optimization with Unknown Constraints ICLR 2024 Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024 Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024 Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024 Principled Bayesian Optimization in Collaboration with Human Experts NeurIPS 2024 Principled Preferential Bayesian Optimization ICML 2024 Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design ICML 2024 Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency ICML 2024 Random Function Descent NeurIPS 2024 Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization ICLR 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 Robust Entropy Search for Safe Efficient Bayesian Optimization UAI 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Robustifying and Boosting Training-Free Neural Architecture Search ICLR 2024 Robust Model-Based Optimization for Challenging Fitness Landscapes ICLR 2024 Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems CoRL 2024 Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants ICML 2024 Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NeurIPS 2024 Sample-efficient Bayesian Optimisation Using Known Invariances NeurIPS 2024 Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes NeurIPS 2024 Scalable Meta-Learning with Gaussian Processes AISTATS 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024