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Bayesian Optimization

122 directly classified papers

Papers per year

Papers

Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025
Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025
Optimizing Heat Alert Issuance with Reinforcement Learning AAAI 2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025
SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction EMNLP 2025
Inversion-based Latent Bayesian Optimization NIPS 2024
Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 2024
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024
Multiple-Source Localization from a Single-Snapshot Observation Using Graph Bayesian Optimization AAAI 2024
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NIPS 2024
Generative Adversarial Model-Based Optimization via Source Critic Regularization NIPS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024
Graph Bayesian Optimization for Multiplex Influence Maximization AAAI 2024
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024