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Bayesian Optimization

Papers

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TitleStatusHype
The Vizier Gaussian Process Bandit AlgorithmCode5
Efficient Automated Deep Learning for Time Series ForecastingCode4
Efficient and Robust Automated Machine LearningCode3
Model-based Asynchronous Hyperparameter and Neural Architecture SearchCode3
syftr: Pareto-Optimal Generative AICode3
BoFire: Bayesian Optimization Framework Intended for Real ExperimentsCode3
Evolve Cost-aware Acquisition Functions Using Large Language ModelsCode3
Predicting from Strings: Language Model Embeddings for Bayesian OptimizationCode3
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraftCode2
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
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlowCode2
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume ImprovementCode2
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian OptimizationCode2
Large Language Models to Enhance Bayesian OptimizationCode2
Transductive Active Learning: Theory and ApplicationsCode2
Model Uncertainty in Evolutionary Optimization and Bayesian Optimization: A Comparative AnalysisCode2
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian OptimizationCode2
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement LearningCode2
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation ExperimentsCode2
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter OptimizationCode2
BoTorch: A Framework for Efficient Monte-Carlo Bayesian OptimizationCode2
Multi-Fidelity Active Learning with GFlowNetsCode2
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based EmbeddingsCode1
Bayesian Optimization of Risk MeasuresCode1
Bayesian Optimization of Function NetworksCode1
Bayesian Optimization of Sampling Densities in MRICode1
AdaLead: A simple and robust adaptive greedy search algorithm for sequence designCode1
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic ReparameterizationCode1
Bayesian Optimization over Hybrid SpacesCode1
Bayesian Optimization Meets Self-DistillationCode1
Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving SequencesCode1
Bayesian Neural Architecture Search using A Training-Free Performance MetricCode1
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual InformationCode1
Bayesian Optimization for auto-tuning GPU kernelsCode1
Bayesian Optimization of Catalysis With In-Context LearningCode1
Bayesian Optimization over Permutation SpacesCode1
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer LearningCode1
Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCupCode1
AutoOED: Automated Optimal Experiment Design PlatformCode1
Autotuning Apache TVM-based Scientific Applications Using Bayesian OptimizationCode1
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsCode1
Pre-trained Gaussian Processes for Bayesian OptimizationCode1
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel LearningCode1
auto-sktime: Automated Time Series ForecastingCode1
Active Offline Policy SelectionCode1
Batched Energy-Entropy acquisition for Bayesian OptimizationCode1
Bayesian Generational Population-Based TrainingCode1
Auditing Privacy Defenses in Federated Learning via Generative Gradient LeakageCode1
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