Bayesian Optimization

Augmented Bayesian Policy Search ICLR 2024 A Unified Framework for Bayesian Optimization under Contextual Uncertainty ICLR 2024 AutoCD: Automated Machine Learning for Causal Discovery Algorithms PGM 2024 Batched Energy-Entropy acquisition for Bayesian Optimization NeurIPS 2024 Bayesian Adaptive Calibration and Optimal Design NeurIPS 2024 Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NeurIPS 2024 Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data ICLR 2024 Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024 Convergence of Bayesian Bilevel Optimization ICLR 2024 Efficient Hyperparameter Optimization with Adaptive Fidelity Identification CVPR 2024 Exploring High-dimensional Search Space via Voronoi Graph Traversing UAI 2024 Generative Adversarial Model-Based Optimization via Source Critic Regularization NeurIPS 2024 Graph Bayesian Optimization for Multiplex Influence Maximization AAAI 2024 Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 Learning relevant contextual variables within Bayesian optimization UAI 2024 Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 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 Model Fusion through Bayesian Optimization in Language Model Fine-Tuning 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 No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024 On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024 Optimistic Bayesian Optimization with Unknown Constraints ICLR 2024