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Bayesian Optimization

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Showing 1–50 of 1900 papers

TitleStatusHype
The Vizier Gaussian Process Bandit AlgorithmCode5
Efficient Automated Deep Learning for Time Series ForecastingCode4
syftr: Pareto-Optimal Generative AICode3
Predicting from Strings: Language Model Embeddings for Bayesian OptimizationCode3
BoFire: Bayesian Optimization Framework Intended for Real ExperimentsCode3
Evolve Cost-aware Acquisition Functions Using Large Language ModelsCode3
Model-based Asynchronous Hyperparameter and Neural Architecture SearchCode3
Efficient and Robust Automated Machine LearningCode3
LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization AlgorithmsCode2
Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental SciencesCode2
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation ExperimentsCode2
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative AnalysisCode2
Transductive Active Learning: Theory and ApplicationsCode2
Large Language Models to Enhance Bayesian OptimizationCode2
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraftCode2
Multi-Fidelity Active Learning with GFlowNetsCode2
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlowCode2
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian OptimizationCode2
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter OptimizationCode2
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume ImprovementCode2
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian OptimizationCode2
BoTorch: A Framework for Efficient Monte-Carlo Bayesian OptimizationCode2
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement LearningCode2
Directed Graph Grammars for Sequence-based LearningCode1
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsCode1
Steering Generative Models with Experimental Data for Protein Fitness OptimizationCode1
LLINBO: Trustworthy LLM-in-the-Loop Bayesian OptimizationCode1
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solversCode1
GOLLuM: Gaussian Process Optimized LLMs -- Reframing LLM Finetuning through Bayesian OptimizationCode1
Performance-driven Constrained Optimal Auto-Tuner for MPCCode1
Posterior Inference with Diffusion Models for High-dimensional Black-box OptimizationCode1
Multi-Objective Causal Bayesian OptimizationCode1
BoTier: Multi-Objective Bayesian Optimization with Tiered Composite ObjectivesCode1
Causal Discovery via Bayesian OptimizationCode1
On the Implementation of a Bayesian Optimization Framework for Interconnected SystemsCode1
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-EvolutionCode1
Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space ExplorationCode1
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving SequencesCode1
Monte Carlo Tree Search based Space Transfer for Black-box OptimizationCode1
GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMsCode1
LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog CircuitsCode1
Inversion-based Latent Bayesian OptimizationCode1
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference CalibrationCode1
Optimizing Posterior Samples for Bayesian Optimization via RootfindingCode1
Amortized Probabilistic Conditioning for Optimization, Simulation and InferenceCode1
Batched Energy-Entropy acquisition for Bayesian OptimizationCode1
Batched Bayesian optimization by maximizing the probability of including the optimumCode1
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular ResearchCode1
Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion DetectionCode1
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