Bayesian Optimization

COBALT: Censored Optimization and Bayesian Active Learning Techniques UAI 2026 DABO: Difficulty-Aware Bayesian Optimization with Diffusion-Learned Priors CVPR 2026 Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems UAI 2026 Information Theoretic Bayesian Optimization over the Probability Simplex UAI 2026 Maximally Robust Satisficing Bayesian Optimization UAI 2026 Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design UAI 2026 Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025 A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs UAI 2025 Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025 Bayesian Optimization over Bounded Domains with the Beta Product Kernel UAI 2025 Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? UAI 2025 Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks UAI 2025 Calibrated Regression Against An Adversary Without Regret UAI 2025 CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation AISTATS 2025 Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025 De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025 Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025 Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025 Exploring Exploration in Bayesian Optimization UAI 2025 Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization UAI 2025 Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation AISTATS 2025 High Dimensional Bayesian Optimization using Lasso Variable Selection AISTATS 2025 LITE: Efficiently Estimating Gaussian Probability of Maximality AISTATS 2025