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Bayesian Optimization

100 papers

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Papers

Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning AAAI 2025
Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025
B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025
User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization AAAI 2025
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025
Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025
Language-Based Bayesian Optimization Research Assistant (BORA) IJCAI 2025
Bayesian Optimization of Functions over Node Subsets in Graphs NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Inversion-based Latent Bayesian Optimization NIPS 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NIPS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NIPS 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024