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Bayesian Optimization

Papers

Showing 125 of 1900 papers

TitleStatusHype
The Vizier Gaussian Process Bandit AlgorithmCode5
Efficient Automated Deep Learning for Time Series ForecastingCode4
Efficient and Robust Automated Machine LearningCode3
BoFire: Bayesian Optimization Framework Intended for Real ExperimentsCode3
Model-based Asynchronous Hyperparameter and Neural Architecture SearchCode3
syftr: Pareto-Optimal Generative AICode3
Predicting from Strings: Language Model Embeddings for Bayesian OptimizationCode3
Evolve Cost-aware Acquisition Functions Using Large Language ModelsCode3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter OptimizationCode2
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement LearningCode2
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian OptimizationCode2
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume ImprovementCode2
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlowCode2
LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization AlgorithmsCode2
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraftCode2
Honegumi: An Interface for Accelerating the Adoption of Bayesian Optimization in the Experimental SciencesCode2
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian OptimizationCode2
BoTorch: A Framework for Efficient Monte-Carlo Bayesian OptimizationCode2
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation ExperimentsCode2
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
Transductive Active Learning: Theory and ApplicationsCode2
Large Language Models to Enhance Bayesian OptimizationCode2
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative AnalysisCode2
Multi-Fidelity Active Learning with GFlowNetsCode2
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsCode1
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