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Bayesian Optimization

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/thomasfirmin/hpo_snn

공식 코드

Parallel Hyperparameter Optimization Of Spiking Neural Network

https://github.com/tiannuo-yang/vdtuner

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VDTuner: Automated Performance Tuning for Vector Data Management Systems

https://github.com/tkusmierczyk/bayesian_hyperparameters_matching

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Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching

https://github.com/toscanosaul/bayesian_quadrature_optimization

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Bayesian Optimization with Expensive Integrands

https://github.com/tsingqaq/trieste

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$\{\text{PF}\}^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization

https://github.com/tsudalab/CRYSIM

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CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines

https://github.com/tuhh-ics/2024-code-l4dc-safe-multi-task-bayesian-optimization

공식 코드

Towards Safe Multi-Task Bayesian Optimization

https://github.com/tuhh-ics/2025-code-an-analysis-of-safety-guarantees-in-multi-task-bayesian-optimization

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An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization

https://github.com/tung-nd/tnp-pytorch

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Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

https://github.com/tyliu22/online_pacgp

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Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making

https://github.com/uber-research/TuRBO

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Scalable Global Optimization via Local Bayesian Optimization

https://github.com/uiuc-iml/autompc

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Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning

https://github.com/umdatasciencelab/consensus_bayesian_opt

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Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design

https://github.com/umdatasciencelab/llm-in-the-loop-bo

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LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization

https://github.com/umkiyoung/dibo

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Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization

https://github.com/uquh/tsroots

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Optimizing Posterior Samples for Bayesian Optimization via Rootfinding

https://github.com/ur-whitelab/bo-icl

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Bayesian Optimization of Catalysis With In-Context Learning

https://github.com/ur-whitelab/bo-lift

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Bayesian Optimization of Catalysis With In-Context Learning

https://github.com/vardhah/constraintbouuvhulldesign

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Constrained Bayesian Optimization for Automatic Underwater Vehicle Hull Design

https://github.com/vertaix/quality-weighted-vendi-score

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Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design

https://github.com/viewsetting/unsupervised_sampling_promoting

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Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction

https://github.com/violet-sto/hn-gfn

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Sample-efficient Multi-objective Molecular Optimization with GFlowNets

https://github.com/wagner-group/demystify-random-transform

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Demystifying the Adversarial Robustness of Random Transformation Defenses

https://github.com/wdbo-algorithm/wdbo_algo

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This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

https://github.com/wenqian-xing/cagebo

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Black-Box Optimization with Implicit Constraints for Public Policy

https://github.com/western-oc2-lab/autonomouscyber-automl-based-autonomous-intrusion-detection-system

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Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection

https://github.com/western-oc2-lab/vibration-based-fault-diagnosis-with-low-delay

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A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay

https://github.com/willieneis/ProBO

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ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language

https://github.com/willieneis/bayesian-algorithm-execution

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Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information

https://github.com/wiseodd/bo-async-feedback

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How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?

https://github.com/wiseodd/lapeft-bayesopt

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A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?

https://github.com/wiseodd/laplace-bayesopt

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Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization

https://github.com/wjmaddox/mtgp_sampler

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Bayesian Optimization with High-Dimensional Outputs

https://github.com/wjmaddox/online_gp

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Kernel Interpolation for Scalable Online Gaussian Processes

https://github.com/wohnjayne/eda-suite

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Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization

https://github.com/wujian16/Cornell-MOE

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The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

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